https://docs.vcloud.ai/api.php?action=feedcontributions&user=Vcloudai&feedformat=atomvCloud.ai Documentation - User contributions [en]2024-03-29T10:39:14ZUser contributionsMediaWiki 1.37.2https://docs.vcloud.ai/index.php?title=Cluebase_VMS_Installation_Manual&diff=1031Cluebase VMS Installation Manual2024-01-09T22:09:10Z<p>Vcloudai: /* Camera settings recommendations */</p>
<hr />
<div><strong>Installation manual Contents</strong><br />
<br />
== Preparation ==<br />
Download cluebase.zip from https://vcloud.ai/downloads and unzip the file. Please note that in some versions of Linux the unzip application is not included so you'll need to install it separately with the following command: <br />
sudo apt install unzip<br />
Now unzip the Cluebase VMS installer with the following command:<br />
sudo unzip cluebase.zip<br />
The above command creates a directory containing the installation files. <br />
<br />
Go to CluebaseVMS directory:<br />
cd CluebaseVMS<br />
Now you have to provide permissions to the installation script (install.sh):<br />
sudo chmod +x install.sh<br />
You are all set for the installation.<br />
<br />
== Automatic installation ==<br />
<br />
<br />
Docker container framework and Docker-compose extension are required for Cluebase VMS installation and operation.<br><br />
<br />
=== Installing on Linux ===<br />
Please run the install.sh script to automatically install Cluebase VMS on a clean Linux OS.<br><br />
<br />
To run the script, please go to the folder containing “install.sh” and run the following command: <br><br />
<br />
$ sudo sh install.sh <br><br />
<br />
== Installing the SSL version ==<br />
Here are the steps to install Cluebase VMS with SSL encryption:<br />
<br />
# Download Cluebase VMS SSL installer . Please note that it comes as a separate install package and available at https://vcloud.ai/downloads<br />
# Prepare SSL certificate and public key that are generated for the required domain name.<br />
# Unzip the installation package.<br />
# Navigate to 'certs' directory in the installation package.<br />
# Copy the SSL certificate and public key (file should be named as follows: cert.crt - SSL certificate, cert.key - public). The existing files should be replaced or removed before <br />
# Provide permissions to the installation script by this command:<br />
<br />
sudo chmod +x install.sh<br />
7. Run the installation script: <br />
$ sudo sh install.sh<br />
<br />
== Manual installation ==<br />
<br />
=== Installing Docker on Linux ===<br />
Official Docker installation guide: https://docs.docker.com/engine/install/ubuntu/<br><br />
<br />
Run the following command:<br><br />
<br />
$ sudo apt-get update && apt-get install docker-ce docker-ce-cli containerd.io <br><br />
<br />
=== Installing docker-compose on Linux ===<br />
Run the following command:<br><br />
<br />
$ sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose <br><br />
<br />
Grant the necessary access rights by running the following command:<br><br />
<br />
$ sudo chmod +x /usr/local/bin/docker-compose <br><br />
<br />
=== <strong>Preparation for manual VMS installation </strong> ===<br />
You will need to edit the environment variable file, the .env file, to successfully install the VMS.<br><br />
<br />
Please note that this file is hidden in the folder by default. <br><br />
<br />
Open the .env file and specify the server's IP address in the following fields: <br><br />
<br />
APP_HOST=0.0.0.0 (the server's public IP address) MACHINE_HOST=0.0.0.0 (local IP address of the server) <br><br />
<br />
If the VMS should only be used in the local network, both IP addresses will be the same. <br />
<br />
=== Using a custom port for the VMS ===<br />
By default the VMS installs and runs on port 80. However you can configure a different port by amending the .env file.<br />
<br />
Open the .env file and add NGINX_PORT variable and it's value (port number) as shown on the screenshot.<br />
[[File:Editing .env file .jpg|thumb|none|557x557px]]<br />
<br />
=== Installing and running VMS ===<br />
<br>Enter the VMS folder and run the following command: <br><br />
<br />
$ sudo docker-compose up -d <br><br />
<br />
This command will automatically download, install and run VMS. <br />
<br />
=== Failover ===<br />
<br />
===== Description =====<br />
Cluebase VMS supports failover (hot swap) functionality as the following options:<br />
<br />
# 1 to 1 - every server in the system has a failover server<br />
# Many to 1 - several servers can be hot-swapped by 1 failover server<br />
# Many to Many - several servers can be hot-swapped by several failover servers<br />
<br />
===== Important =====<br />
<br />
# In case of using the failover functionality it’s important to make sure that network storage is being used (Object storage or NAS)<br />
# Failover server hardware should be able to handle the required number of cameras so the failover servers’ hardware should be precisely calculated and configured.<br />
# Configuration is automatically sent from main server to failover every 5 minutes<br />
#Please note that shutting down the main server manually is considered as maintenance and will not initiate the failover process.<br />
#After switching back from failover server to the main server it is required to reset failover server's configuration or reboot.<br />
<br />
===== Setup =====<br />
To set up a failover system you need to have at least 1 main server and 1 failover server.<br />
<br />
Go to the main server user interface and open Failover settings: Settings->Failover->Add Failover Server and fill the fields with Failover server credentials. In the Logic field choose the server or servers that should be hot-swapped by the current Failover server. Then click Save.<br />
[[File:Failover settings.png|none|thumb]]<br />
<br />
<br />
<br><br />
<br />
== Sign in ==<br />
Open a web browser (Google Chrome, Mozilla Firefox and Safari are recommended), enter the server's IP address and press Enter. <br><br />
[[File:Picture 24.png|thumb|none]]<br><br />
By default login and password: admin/admin.<br />
<br />
== Server IP update ==<br />
sudo ./newIP.sh<br />
<br />
== Stopping the VMS ==<br />
Run the following command from the VMS folder to stop the VMS server:<br><br />
<br />
$ sudo ./stop.sh<br><br />
<br />
== Updating VMS ==<br />
To update VMS version:<br><br> <br />
$ sudo ./update.sh<br> <br />
<br />
== Start VMS ==<br />
$ sudo ./start.sh<br><br />
<br />
== Camera settings recommendations ==<br />
1. Always use the CBR setting, as when using VBR on some camera models, the bitrate may drop to limits, which may cause the video stream to be temporarily shut down. <br><br />
2. Always set the minimum keyframe interval (I Frame interval or Key Frame interval).</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_Installation_Manual&diff=1030Cluebase VMS Installation Manual2024-01-09T22:08:33Z<p>Vcloudai: </p>
<hr />
<div><strong>Installation manual Contents</strong><br />
<br />
== Preparation ==<br />
Download cluebase.zip from https://vcloud.ai/downloads and unzip the file. Please note that in some versions of Linux the unzip application is not included so you'll need to install it separately with the following command: <br />
sudo apt install unzip<br />
Now unzip the Cluebase VMS installer with the following command:<br />
sudo unzip cluebase.zip<br />
The above command creates a directory containing the installation files. <br />
<br />
Go to CluebaseVMS directory:<br />
cd CluebaseVMS<br />
Now you have to provide permissions to the installation script (install.sh):<br />
sudo chmod +x install.sh<br />
You are all set for the installation.<br />
<br />
== Automatic installation ==<br />
<br />
<br />
Docker container framework and Docker-compose extension are required for Cluebase VMS installation and operation.<br><br />
<br />
=== Installing on Linux ===<br />
Please run the install.sh script to automatically install Cluebase VMS on a clean Linux OS.<br><br />
<br />
To run the script, please go to the folder containing “install.sh” and run the following command: <br><br />
<br />
$ sudo sh install.sh <br><br />
<br />
== Installing the SSL version ==<br />
Here are the steps to install Cluebase VMS with SSL encryption:<br />
<br />
# Download Cluebase VMS SSL installer . Please note that it comes as a separate install package and available at https://vcloud.ai/downloads<br />
# Prepare SSL certificate and public key that are generated for the required domain name.<br />
# Unzip the installation package.<br />
# Navigate to 'certs' directory in the installation package.<br />
# Copy the SSL certificate and public key (file should be named as follows: cert.crt - SSL certificate, cert.key - public). The existing files should be replaced or removed before <br />
# Provide permissions to the installation script by this command:<br />
<br />
sudo chmod +x install.sh<br />
7. Run the installation script: <br />
$ sudo sh install.sh<br />
<br />
== Manual installation ==<br />
<br />
=== Installing Docker on Linux ===<br />
Official Docker installation guide: https://docs.docker.com/engine/install/ubuntu/<br><br />
<br />
Run the following command:<br><br />
<br />
$ sudo apt-get update && apt-get install docker-ce docker-ce-cli containerd.io <br><br />
<br />
=== Installing docker-compose on Linux ===<br />
Run the following command:<br><br />
<br />
$ sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose <br><br />
<br />
Grant the necessary access rights by running the following command:<br><br />
<br />
$ sudo chmod +x /usr/local/bin/docker-compose <br><br />
<br />
=== <strong>Preparation for manual VMS installation </strong> ===<br />
You will need to edit the environment variable file, the .env file, to successfully install the VMS.<br><br />
<br />
Please note that this file is hidden in the folder by default. <br><br />
<br />
Open the .env file and specify the server's IP address in the following fields: <br><br />
<br />
APP_HOST=0.0.0.0 (the server's public IP address) MACHINE_HOST=0.0.0.0 (local IP address of the server) <br><br />
<br />
If the VMS should only be used in the local network, both IP addresses will be the same. <br />
<br />
=== Using a custom port for the VMS ===<br />
By default the VMS installs and runs on port 80. However you can configure a different port by amending the .env file.<br />
<br />
Open the .env file and add NGINX_PORT variable and it's value (port number) as shown on the screenshot.<br />
[[File:Editing .env file .jpg|thumb|none|557x557px]]<br />
<br />
=== Installing and running VMS ===<br />
<br>Enter the VMS folder and run the following command: <br><br />
<br />
$ sudo docker-compose up -d <br><br />
<br />
This command will automatically download, install and run VMS. <br />
<br />
=== Failover ===<br />
<br />
===== Description =====<br />
Cluebase VMS supports failover (hot swap) functionality as the following options:<br />
<br />
# 1 to 1 - every server in the system has a failover server<br />
# Many to 1 - several servers can be hot-swapped by 1 failover server<br />
# Many to Many - several servers can be hot-swapped by several failover servers<br />
<br />
===== Important =====<br />
<br />
# In case of using the failover functionality it’s important to make sure that network storage is being used (Object storage or NAS)<br />
# Failover server hardware should be able to handle the required number of cameras so the failover servers’ hardware should be precisely calculated and configured.<br />
# Configuration is automatically sent from main server to failover every 5 minutes<br />
#Please note that shutting down the main server manually is considered as maintenance and will not initiate the failover process.<br />
#After switching back from failover server to the main server it is required to reset failover server's configuration or reboot.<br />
<br />
===== Setup =====<br />
To set up a failover system you need to have at least 1 main server and 1 failover server.<br />
<br />
Go to the main server user interface and open Failover settings: Settings->Failover->Add Failover Server and fill the fields with Failover server credentials. In the Logic field choose the server or servers that should be hot-swapped by the current Failover server. Then click Save.<br />
[[File:Failover settings.png|none|thumb]]<br />
<br />
<br />
<br><br />
<br />
== Sign in ==<br />
Open a web browser (Google Chrome, Mozilla Firefox and Safari are recommended), enter the server's IP address and press Enter. <br><br />
[[File:Picture 24.png|thumb|none]]<br><br />
By default login and password: admin/admin.<br />
<br />
== Server IP update ==<br />
sudo ./newIP.sh<br />
<br />
== Stopping the VMS ==<br />
Run the following command from the VMS folder to stop the VMS server:<br><br />
<br />
$ sudo ./stop.sh<br><br />
<br />
== Updating VMS ==<br />
To update VMS version:<br><br> <br />
$ sudo ./update.sh<br> <br />
<br />
== Start VMS ==<br />
$ sudo ./start.sh<br><br />
<br />
== Camera settings recommendations ==<br />
1. Always use the CBR setting, as when using VBR on some camera models, the bitrate may drop to limits, which may cause the video stream to be temporarily shut down. <br />
2. Always set the minimum keyframe interval (I Frame interval or Key Frame interval).</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Face_Recognition_VCA&diff=1029VCloud.ai Face Recognition VCA2023-11-25T10:40:48Z<p>Vcloudai: </p>
<hr />
<div><strong>Face Recognition Module</strong><br />
<br />
== Main functionality <br> ==<br />
<br />
• Face search and facial recognition in real time <br><br />
• View location and movement of a person with instant notification that such person has been found <br><br />
• Face detection and comparison against preloaded database of faces <br><br />
• Face identification with additional characteristics like beard, mustache, glasses, face shield, mask <br><br />
• Creation of lists of people whose movement should be controlled <br><br />
• White/Black & VIP Lists <br><br />
• Support for import (CSV) and export of database (EXCEL/PDF/CSV/JSON) <br><br />
• Ability to process statistical data and generate reports <br><br />
• Cross-platform and multilingual interface <br><br />
<br />
== Recognition conditions <br> ==<br />
<br />
<strong> Hardware and software </strong> <br><br />
<br />
The algorithm is based on the use of neural network detectors,<br />
so the module requires nVidia video card (GPU) with a computing power index of at least 5.0;<br />
at the same time, the characteristics and performance of the video card must not be lower than nVidia GTX 1050 model. <br><br />
<br />
<strong> Faces </strong><br />
<br />
<strong> Images added to the face database must meet the following requirements: </strong> <br><br />
<br />
• face position - strictly full face, without turns; <br><br />
• look - directly into the lens; <br><br />
• neutral facial expression; <br><br />
• eyes are open and clearly visible; <br><br />
• lack of hats and dark glasses; <br><br />
• the image is sharp and clear; <br><br />
• lack of deep shadows; <br><br />
• there should be no scanning artifacts, as well as reshooting from screens; <br><br />
• proportions should not be distorted; <br> <br />
• no side light source (for example, sunlight from a window) is allowed. <br><br />
<br />
[[File:6edited.png|700px|none]]<br><br />
<br />
<strong> Video stream </strong> <br><br />
Optimal resolution for module operation: HD or FullHD. <br><br />
<br />
Frame rate: at least 10 frames per second. <br><br />
<br />
The video stream must not be mirrored (horizontally reflected). <br><br />
<br />
<strong>Lighting and image quality</strong> <br><br />
<br />
The illumination of faces in the frame should be uniform and constant.<br />
If the camera is installed in front of a bright light source (the sun behind the entrance door, etc.),<br />
then it is necessary to adjust the exposure (or brightness) so that the face in the frame is bright. <br />
In this case, an overexposed background is allowed. The image quality should be at least average. <br />
There should be no significant compression artifacts. No blurring of the faces of moving people. The image must be colored. <br><br />
<br />
<strong> Scene and camera position </strong> <br><br />
<br />
• People's faces must be fully visible in the frame. <br><br />
• There must be no reflective surfaces in the frame: glasses, mirrors, etc. <br><br />
• Do not allow a strong side light source (sunlight from a window), due to which one half of the face is overexposed. <br><br />
• It is allowed to place the camera above the level of the face, directly in the direction of the recognized people. In this case, the tilt angle of the camera should not exceed 35°. <br><br />
• The distance between the pupils of the recognized face in the frame must be at least 30 pixels. The camera should be pointed directly at the faces of the people it recognizes. The angle between the direction of the face and the axis of the lens: should not exceed 30 °. <br><br />
<br />
Examples of requirements violations: <br><br />
[[File:5edited.png|500px]]<br />
[[File:4edited.png|500px]]<br />
[[File:3edited.png|500px]]<br />
[[File:1edited.png|500px]]<br />
<br />
<strong>Recommended camera settings </strong> <br><br />
<br />
• Quality: the highest. <br><br />
• Bit rate: maximum possible. <br><br />
• Profile: the highest possible. <br><br />
• Frame interval (GOV): 50. <br><br />
• Stream smoothing: off. <br><br />
• Exposure and brightness: such that for a given scene the face is clearly visible (if the camera is aimed at a light source, then an overexposed background is allowed). <br><br />
• Shutter speed: do not set too slow (more than 1/50), because in this case, the effect of blurring moving objects appears. <br><br />
<br />
== Product Description <br> ==<br />
<br />
<strong> Face Recognition module can be used for: </strong> <br><br />
<br />
• Preventions of crimes; <br><br />
• Abuses and offenses fixation; <br><br />
• Optimization of gating systems on production sites, in companies or public and commercial institutions; <br><br />
• Security systems creation for schools, kindergartens, educational institutions; <br><br />
• Space and events control at stations and airports; <br><br />
• Loyalty programs forming in supermarkets and retail networks; <br><br />
• Marketing analysis on buyers activity in shops departments; <br><br />
• Buyers control in shops. <br><br />
<br />
<strong> Basic data used by the Face Recognition module: </strong> <br><br />
<br />
• Face recognition in a flow of people on city streets, in crowd or indoors; <br><br />
• Data analysis and frames with faces allocation from the video stream received from surveillance cameras; <br><br />
• Photographic materials collecting information about the location of the person, time of fixing, and personal data; <br><br />
• Age and sex determination of the recognized person; <br><br />
• Obtained data can be verified with "white" or "black" lists. <br><br />
<br />
<strong> System Requirements </strong> <br><br />
<br />
For installation of the Face Recognition module on GPU for one video stream it is necessary to have at least minimal system requirements given in the table below. <br><br />
<br />
<table border="1"><br />
<tr><br />
<th><br />
Parameter<br />
</th><br />
<th><br />
Recommended value<br />
</th><br />
</tr><br />
<tr> <br />
<td><br />
CPU<br />
</td><br />
<td><br />
Intel Core i5-5575 and more<br />
</td><br />
</tr><br />
<tr> <br />
<td><br />
RAM<br />
</td><br />
<td><br />
3 GB RAM - detection, 5 GB RAM - detection + recognition<br />
</td><br />
</tr><br />
<br />
<tr> <br />
<td><br />
GPU<br />
</td><br />
<td><br />
NVIDIA 1050<br />
</td><br />
</tr><br />
<br />
<tr> <br />
<td><br />
Places for archive<br />
</td><br />
<td><br />
Up to 3 GB per day<br />
</td><br />
</tr> <br />
<br />
<tr> <br />
<td><br />
Operating system<br />
</td><br />
<td><br />
Ubuntu 20.04<br />
</td><br />
</tr><br />
<br />
</table><br />
<br />
== Analytics <br> ==<br />
To open the Face Recognition analytics, select Face Recognition in the left menu and pass to the Analytics section. <br><br />
[[File:Vcloud.png|1000px|none]]<br />
The page displays a list of analytics with the status and the ability to add, edit, view, or delete face recognition analytics. <br><br />
There is a search field at the top of the page. Here you can filter analytics by the following parameters: <br><br />
<br />
<table border="1"><br />
<tr><br />
<th><br />
Field name<br />
</th><br />
<th><br />
Description<br />
</th><br />
</tr><br />
<tr><br />
<td><br />
Camera<br />
</td><br />
<td><br />
Analytics name or part of a name can be entered in this field<br />
</td><br />
</tr><br />
</tr><br />
<tr><br />
<td><br />
Status<br />
</td><br />
<td><br />
Select the Analytics status from the drop-down list - All, Active, or Stopped<br />
</td><br />
</tr><br />
</table><br />
To start the search click on the <strong>Search</strong> button. To clear the fields click on the <strong>Reset</strong>button. <br><br />
[[File:Search+field+new.jpg|1000px|none]]<br />
The list of analytics is shown in the table below. <br><br />
<br />
<strong> Analytics Adding </strong> <br><br />
To add new analytics of face recognition, press <strong>Add Analytics </strong>in the upper right corner of the page. <br><br />
[[File:Add+new.jpg|1000px|none]]<br />
The Face Recognition analytics setup process consists of <strong>3 Steps</strong>.<br><br />
<br />
<strong>Step 1 — General</strong> <br><br />
[[File:Step1.jpg|1000px|none]]<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
[[File:14.jpg|1000px|none]]<br />
You can also enter the part of the camera name in the <strong>Search</strong> field to find the necessary video stream faster.<br><br />
[[File:15 .jpg|1000px|none]]<br />
On the right side of the window, you can see the video stream preview and information about <strong>Camera</strong> name and <strong>Address, Time Zone, Resolution, Codec,</strong> and <strong>Type</strong>.<br><br />
[[File:16 .jpg|1000px|none]]<br />
<br />
When the video stream is selected press the <strong>Set Video Stream</strong> button. <br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition. <br><br />
It is possible if a video stream was selected. <br><br />
To add analytics it is necessary to set up the following parameters: <br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Minimum Face Height</td><br />
<td> Establish the minimum size of the face which will be recognized by analytics. The minimum possible value – 80 pixels. </td><br />
</tr><br />
<tr><br />
<td>Camera Buffer</td><br />
<td>Enter the number of seconds of a delay. The person, that was recognized, can be recognized through the specified interval again. The possible range is from 1 to 600 sec.</td><br />
</tr><br />
<tr><br />
<td>Frames to Detect</td><br />
<td>Enter a number of frames. The higher number of frames, the better the quality of recognition, but at the same time, the person should be in a frame for a longer period of time. The smaller number of frames, the lower the quality of recognition, but detecting happens quicker. The possible range is from 1 to 100.</td><br />
</tr><br />
<tr><br />
<td>Age Detection</td><br />
<td>Move the slider to enable/disable the age detection.</td><br />
</tr><br />
<tr><br />
<td>Gender Detection</td><br />
<td>Move the slider to enable/disable the gender detection.</td><br />
</tr><br />
<tr><br />
<td>Mask Detection</td><br />
<td>Move the slider to enable/disable the mask detection.</td><br />
</tr><br />
<tr><br />
<td>Liveness</td><br />
<td>Move the slider to enable/disable the liveness recognition.</td><br />
</tr><br />
</table><br />
<br />
Then it is necessary to place a <strong>recognition area</strong>.<br><br />
Move the white and red markers to line up the desired area. <br><br />
[[File:17 .jpg|1000px|none]]<br />
Recognition analytics will be performed only within the boundaries of the selected area. <br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
[[File:18 .jpg|1000px|none]]<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor.<br />
It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one. <br><br />
[[File:19 1.png|1000px|none]]<br />
To pass to the next step, click on the <strong>Next</strong> button in the upper right corner of the page. <br><br />
[[File:191.jpg|1000px|none]]<br />
<strong>Step 2 — Hardware</strong> <br><br />
<br />
[[File:20 .png|1000px|none]]<br />
<br />
Now it is time to customize <strong>Hardware</strong> options. System users can change the following parameters: <br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
When all necessary parameters are selected, go forward to the last step by clicking on the <strong> Next button</strong> in the upper right corner of the page. <br><br />
<br />
<strong>Step 3 — Notifications</strong> <br><br />
Finally, it is possible to customize <strong>Notifications</strong>.<br />
[[File:21 .jpg|1000px|none]]<br />
<br />
Check the box next to <strong>Blur face in preview mode</strong> if it is necessary to blur faces on all detect previews in the module.<br><br />
Check the box next to <strong>Send events to Event Manager.</strong> The system will send all notifications to the <strong>Event Manager</strong> and then to external resources. <br><br />
<br />
[[File:22 .jpg|1000px|none]]<br />
<br />
Then it is necessary to fill in the following fields: <br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.</td><br />
</tr><br />
</table><br />
<br />
To add more parameters, click on the <strong>Add Options</strong> button. <br><br />
<br />
[[File:23 .jpg|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon. <br><br />
[[File:24 .jpg|1000px|none]]<br />
<br />
If you want to make changes to previous steps, click on the <strong>Back</strong> button in the upper right corner of the page. <br><br />
<br />
[[File:25 .jpg|1000px|none]]<br />
<br />
When the analytics setup is complete, click on the <strong>Save</strong> button in the upper right corner of the page to save changes and create the analytics.<br><br />
<br />
[[File:26 .jpg|1000px|none]]<br />
<br />
<strong>Analytics Editing</strong><br><br />
To open the Face Recognition analytics editing window, click the <strong>Edit</strong> button on the right side of the analytics record.<br><br />
[[File:Editor+new.jpg|1000px|none]]<br />
<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is <strong>Active</strong> at the moment, it is necessary to <strong>disable</strong> it by clicking on the <strong>Stop Analytics</strong> button in the upper right corner of the editor page.<br><br />
[[File:28.jpg|1000px|none]]<br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens. Click <strong>Yes</strong> to confirm the analytics disable or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:29.jpg|1000px|none]]<br />
<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General, Hardware, and Notifications</strong>. The <strong>General</strong> tab opens first by default.<br><br />
The current tab is always <strong>highlighted</strong>. You can switch among them by clicking on their names.<br><br />
<br />
[[File:30.jpg|1000px|none]]<br />
<br />
<strong>General Tab</strong> <br><br />
<br />
At the <strong>General</strong> tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Minimum Face Height</td><br />
<td>Establish the minimum size of the face which will be recognized by analytics. The minimum possible value – 80 pixels.</td><br />
</tr><br />
<tr><br />
<td>Maximum Face Height</td><br />
<td>Establish the maximum size in pixels of the face which will be recognized by analytics.</td><br />
</tr><br />
<tr><br />
<td>Camera Buffer</td><br />
<td>Enter the number of seconds of a delay. The person, that was recognized, can be recognized through the specified interval again. The possible range is from 1 to 600 sec.</td><br />
</tr><br />
<tr><br />
<td>Frames to Detect</td><br />
<td>Enter a number of frames. The higher number of frames, the better the quality of recognition, but at the same time, the person should be in a frame for a longer period of time. The smaller number of frames, the lower the quality of recognition, but detecting happens quicker. The possible range is from 1 to 100.</td><br />
</tr><br />
<tr><br />
<td>Age Detection</td><br />
<td>Move the slider to enable/disable the age detection</td><br />
</tr><br />
<tr><br />
<td>Gender Detection</td><br />
<td>Move the slider to enable/disable the gender detection</td><br />
</tr><br />
<tr><br />
<td>Mask Detection</td><br />
<td>Move the slider to enable/disable the mask detection</td><br />
</tr><br />
<tr><br />
<td>Liveness</td><br />
<td>Move the slider to enable/disable the liveness recognition</td><br />
</tr><br />
</table><br />
<br />
Then it is possible to edit a <strong>recognition area.</strong><br><br />
Move the white and red markers to line up the desired area.<br><br />
<br />
[[File:31.jpg|1000px|none]]<br />
<br />
Recognition analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:32.jpg|1000px|none]]<br />
<br />
To create a new area from the beginning, click somewhere inside the frame. Then move the mouse cursor.<br />
It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area.<br />
The last point should be placed at the same place as the first one.<br><br />
<br />
[[File:Image2021-12-14 15-53-36.png|1000px|none]]<br />
<br />
<strong>Hardware Tab</strong><br><br />
At the <strong>Hardware</strong> tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration.</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia.</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT).</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
</td>Enter the desired number of frames per second in the field for detection. The recommended value is 25.</td><br />
</tr><br />
</table><br />
<br />
[[File:Image2021-12-14 15-56-36.png|1000px|none]]<br />
<br />
<strong>Notifications Tab</strong><br><br />
At the <strong>Notifications</strong> tab it is possible to edit values in the following fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.</td><br />
</tr><br />
</table><br />
<br />
To add parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:33.jpg|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:34.jpg|1000px|none]]<br />
<br />
When the analytics editing is complete, click on the <strong>Save</strong> button in the right upper corner of the editor page to save changes.<br><br />
<br />
[[File:35.jpg|1000px|none]]<br />
<br />
<strong>Analytics Viewing</strong> <br><br />
<br />
To view <strong>Face Recognition</strong> analytics, press the <strong>View</strong> icon on the right side of the analytics record. <br><br />
<br />
[[File:41.jpg|1000px|none]]<br />
<br />
It is possible to view only <strong>Active</strong> video streams. <br><br />
In the opened window you can see the records of the recognized faces in <strong>real-time.</strong><br><br />
[[File:Image2021-12-14 16-48-31.png|1000px|none]]<br />
<br />
It is also possible to <strong>Edit</strong> the current analytics or view all <strong>Events</strong> of current analytics. For this purpose click on the button <strong>View All Analytics Events</strong> to move to the <strong>Events</strong> page or click on the <strong>Edit Analytic</strong> button to move to the <strong>Editor</strong> page. <br><br />
<br />
[[File:39.jpg|1000px|none]]<br />
<br />
<strong>Analytics Start and Stop</strong> <br><br />
To start the <strong>Face Recognition</strong> analytics, click on the <strong>Start</strong> button on the right side of the record. To stop the analytics, click on the Stop button.<br><br />
<br />
[[File:40.jpg|1000px|none]]<br />
<br />
When you click on the Stop button, the confirmation window opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action. <br><br />
<br />
[[File:Image2021-12-14 17-18-41.png|1000px|none]]<br />
<br />
<strong>Events Viewing</strong> <br><br />
To view events from certain analytics, click on the corresponding icon on the right side of the record. <br><br />
<br />
[[File:42.jpg|1000px|none]]<br />
<br />
<strong>Analytics Deletion</strong> <br><br />
To delete the <strong>Face Recognition</strong> analytics, click on the <strong>Delete</strong> icon on the right side of the record.<br><br />
<br />
[[File:36.jpg|1000px|none]]<br />
<br />
In the following window, click <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
[[File:37.jpg|1000px|none]]<br />
<br />
== Search<br> ==<br />
The <strong>Search</strong> section is intended for viewing the search results of recognized faces.<br />
<br />
[[File:Search1.png|1000px|none]]<br />
<br />
<strong>Search Parameters</strong><br><br />
Face search fields are at the top of the page. <br><br />
<br />
[[File:44 .jpg|1000px|none]] <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which it is necessary to make a search.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select cameras on which the search should be performed.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>Select a necessary list (or All Lists/Off the List).</td><br />
</tr><br />
<tr><br />
<td>Person</td><br />
<td>Select a person from a drop-down list. Available only if a certain List was selected.</td><br />
</tr><br />
<tr><br />
<td>Gender</td><br />
<td>Select a specific gender</td><br />
</tr><br />
<tr><br />
<td>Mask</td><br />
<td>Set a medical mask presence or absence on a face.</td><br />
</tr><br />
<tr><br />
<td>Age</td><br />
<td>Move markers to set an age range</td><br />
</tr><br />
</table><br />
<br />
<strong>Press Find to show search results. Press Reset to clean the fields.</strong> <br><br />
Click on the <strong>Search by Photo</strong> button to perform a search among chosen photos on a device.<br><br />
<br />
<strong>Search Results</strong> <br><br />
<strong>Search results</strong> are displayed in the table below. <br><br />
<br />
[[File:Image2021-12-15 12-48-34.png|1000px|none]]<br />
<br />
To go to the <strong>Grid View</strong> mode click on the corresponding icon in the upper right corner of the page. <br><br />
<br />
[[File:45 .jpg|1000px|none]]<br />
<br />
To return to the <strong>List View</strong>mode click on the corresponding icon in the upper right corner again.<br><br />
<br />
[[File:46 .jpg|1000px|none]]<br />
<br />
<strong>Records adding and editing</strong> <br><br />
If the person is not in the list, but it is necessary to add the person, press <strong>Add to List</strong> if the type of the list is used:<br />
<br />
[[File:Image2021-5-10 14-31-20.png|1000px|none]]<br />
<br />
or <strong>Add to List</strong> if the type a net is used:<br />
<br />
[[File:Image2021-5-10 14-31-43.png|500px|none]]<br />
<br />
On pressing the button <strong>Add to List</strong> the form of person addition in the list opens.<br />
<br />
[[File:Image2021-5-10 14-31-56.png|500px|none]]<br />
<br />
To add a person enter a name, surname, note and also select one of the existing lists. For changes saving press the button <strong>Save</strong>.<br />
<br />
To enlarge the picture in recognized face record, press an icon of Zoom <br />
[[File:Zoom.png|40px]]<br><br />
<br />
[[File:Image2021-5-10 14-35-18.png|1000px|none]]<br />
<br />
If desired it is possible to save the image by pressing the corresponding button.<br><br />
Press the name of the person in the record to pass the page <strong>Personal Information</strong>. <br><br />
<br />
[[File:Image2021-5-10 14-35-49.png|500px|none]]<br />
<br />
Press the button <strong>Edit</strong> to change the information on the person.<br><br />
<br />
[[File:Image2021-5-10 14-36-4.png|500px|none]]<br />
<br />
In the opened window you can change the following fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Full name</td><br />
<td>Enter a person's name and surname into the field.</td><br />
</tr><br />
<tr><br />
<td>Message</td><br />
<td>Enter the message into the field. The message should contain information about the person.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>Select the list to which the person relates.</td><br />
</tr><br />
</table><br />
<br />
Press the button <strong>Load a Photo</strong> to change a photo of the person.<br><br />
Press <strong>Save</strong> to keep changes.<br><br />
For removal of the person's record from the list press the button <strong>Delete.</strong><br><br />
<br />
[[File:Image2021-5-10 14-37-24.png|500px|none]]<br />
<br />
For viewing the camera location press an icon of camera arrangement in records of the person.<br><br />
<br />
[[File:Image2021-5-10 14-37-37.png|500px|none]]<br />
<br />
To confirm the coincidence to the person from the list press <strong>Yes</strong>. To specify that another person is found press <strong>No</strong>.<br><br />
This function is available if notifications on the list in which there is a record of the person are enabled.<br><br />
To see a frame from the camera press an icon in the upper right corner of a person frame:<br><br />
<br />
[[File:Image2021-5-10 14-37-55.png|500px|none]]<br />
<br />
In the opened window press the button <strong>Save Image</strong> to download a frame with the person.<br><br />
<br />
[[File:Image2021-5-10 14-38-16.png|500px|none]]<br />
<br />
== Lists <br> ==<br />
To create a face database for their subsequent recognition select Face recognition in the menu at the left and pass to the section <strong>Lists.</strong><br><br />
<br />
[[File:Lists.png|1000px|none]]<br />
<br />
<strong>Lists search</strong><br><br />
The search field is at the top of the screen.<br><br />
To find the necessary list enter its name in the field of search.<br><br />
<br />
[[File:Image2021-5-10 14-41-20.png|500px|none]]<br />
<br />
Press <strong>Search</strong> to show the results. Press <strong>Reset</strong> to clear record fields.<br><br />
It is possible to perform the search in available photos on the device. For this purpose, press <strong>Search by Photo</strong> and select the necessary photo.<br><br />
<strong>Search by name</strong><br><br />
To search for a person <strong>by name</strong>, click on the <strong>SEARCH BY NAME</strong> button.<br><br />
<br />
[[File:1faces+sbn.jpg|1000px|none]]<br />
<br />
There is a <strong>search field</strong> at the top of the page.<br><br />
<br />
[[File:2faces+sbn.jpg|1000px|none]]<br />
<br />
Enter the full person's name in the <strong>Full name</strong> field and press <strong>Find</strong>. To remove a name from the search field press <strong>Reset</strong>.<br><br />
Search <strong>results</strong> are displayed in the net format below.<br><br />
Each record consists of the detected person's face <strong>Image</strong> and such lines as a <strong>Person's name</strong>, record <strong>Description, Time and date</strong> of creating a record, and <strong>List</strong> to which the person's card was added.<br><br />
<br />
<strong>Change information</strong><br><br />
To edit record information click on the <strong>Edit</strong> button.<br><br />
<br />
[[File:1faces+edit.jpg|500px|none]]<br />
<br />
In the opened window you can change next fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Full name</td><br />
<td>In this field, you can change a person's name.</td><br />
</tr><br />
<tr><br />
<td>Message</td><br />
<td>In this field, you can change the purpose of the created record.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>You can choose another list from the drop-down list</td><br />
</tr><br />
</table><br />
<br />
It is also possible to upload another person's photo for recognition. For this purpose click on the <strong>CHANGE PHOTO</strong> button.<br><br />
<br />
[[File:3+faces+edit.jpg|1000px|none]]<br />
<br />
<strong>Delete a record</strong><br><br />
To delete a record click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:1+faces+delete+record.jpg|500px|none]]<br />
<br />
Press <strong>Yes</strong> to delete a person, press <strong>No</strong> to cancel the deletion.<br><br />
<br />
[[File:2+faces+delete.jpg|500px|none]]<br />
<br />
<strong>View person's card</strong><br />
To view information about a person, click on the person's name.<br><br />
<br />
[[File:1view+person.jpg|1000px|none]]<br />
<br />
The first block consists of the detected person's face <strong>Image</strong> and such lines as a <strong>Person's name</strong>, record <strong>Description, Time and date</strong> of creating a record, and <strong>List</strong> to which the person's card was added.<br><br />
<br />
[[File:Image2021-7-1 16-53-10.png|800px|none]]<br />
<br />
Here you can also edit and delete a person's card using the corresponding buttons.<br><br />
<br />
[[File:Image2021-7-1 16-55-20.png|500px|none]]<br />
<br />
The second block consists of search results, where the person's face was recognized by a camera.<br><br />
To pass to <strong>a tabular</strong> format of records press an icon in the upper right corner.<br />
<br />
[[File:1kim+one.jpg|1000px|none]]<br />
<br />
To return to a <strong>net</strong> format, press an icon in the upper right corner.<br><br />
<br />
[[File:2kim+one.jpg|1000px|none]]<br />
<br />
To enlarge the picture in a recognized face record, press a frame icon.<br><br />
[[File:3kim.jpg|1000px|none]]<br />
<br />
If desired it is possible to save the image by pressing the <strong>Save image</strong> button.<br><br />
<br />
[[File:4kim.jpg|1000px|none]]<br />
<br />
It is also possible to confirm or refuse the match. For this purpose press <strong>Yes</strong> to confirm or <strong>No</strong> to refuse the recognized face matching.<br><br />
<br />
[[File:5kim.jpg|1000px|none]]<br />
<br />
<strong>Adding a list</strong><br><br />
To add a new record, press <strong>Add List</strong> in the screen upper right corner.<br><br />
Fill the fields in the opened window:<br><br />
<br />
[[File:Image2021-5-10 14-43-53.png|500px|none]] <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Enter the name of the record into the field. This field will be displayed in all components of the program that use this record.</td><br />
</tr><br />
<tr><br />
<td>Note</td><br />
<td>This field is intended for the description of the purpose of the created record.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press in the field and select cameras from a drop-down list. The search of person will be performed on the chosen cameras.</td><br />
</tr><br />
<tr><br />
<td>Send notification if the recognized face is on the list.</td><br />
<td>For sending notifications of the found persons for external resources check the field of choice. After that, a field will appear where it is necessary to select an event and to set parameters for notifications sending.</td><br />
</tr><br />
<tr><br />
<td>Confidence threshold</td><br />
<td>Establish the confidence threshold of the recognized person to real. Persons with a smaller confidence threshold will not be registered in notifications.</td><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select an event on which parameters notifications will come from a drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Additional parameters</td><br />
<td>If necessary you can add additional parameters for their further use during event creation. Fill in the fields of parameters. To add parameters press the button ”+ “. To remove parameters press "-".</td><br />
</tr><br />
</table><br />
<br />
<strong>List color selection</strong><br><br />
For the choice of the color press in the field <strong>Color</strong><br><br />
The chosen color of the list will be displayed at records appearing which belong to this list.<br><br />
<br />
[[File:Image2021-5-10 14-47-57.png|200px|none]]<br />
<br />
In the opened window select color which you want to appropriate to the list. For the choice of color press the area with color gradation. There will be in the field an index.<br><br />
Also, you can select a necessary color using entry fields of color parameters.<br><br />
<br />
[[File:Image2021-5-10 14-48-25.png|200px|none]]<br />
<br />
To change a format, for the input of parameters of color, use the button of formats switching that is to the right of the format name.<br><br />
<br />
[[File:Image2021-5-10 14-48-42.png|200px|none]]<br />
<br />
Also, you can select a color using a range of colors that is under a zone of color addition. There is an index in a range. Move the index to the necessary place.<br />
Changes will be displayed in the colors adding zone.<br><br />
<br />
[[File:Image2021-5-10 14-49-56.png|200px|none]]<br />
<br />
To keep the color close a color choice window, pressing the area of the screen outside the window of color selection.<br><br />
To close a window of color choice, press to any place of the screen outside a window of color addition of the list.<br><br />
In order to create a record, press <strong>Save</strong>.<br><br />
<br />
<strong>List editing</strong><br><br />
For record editing press an editing icon to the right of the record name.<br><br />
<br />
[[File:Image2021-5-10 15-6-40.png|1000px|none]]<br />
<br />
Fill the field in the opened window:<br><br />
<br />
[[File:Image2021-5-10 15-6-58.png|500px|none]] <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Enter the name of the record into the field. This field will be displayed in all components of the program that use this record.</td><br />
</tr><br />
<tr><br />
<td>Note</td><br />
<td>This field is intended for the description of created record purpose.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press in the field and select cameras from a drop-down list. A search of face images is performed on the chosen cameras.</td><br />
</tr><br />
<tr><br />
<td>Confidence threshold</td><br />
<td>Establish percent of recognized faces confidence threshold to real. Faces with smaller confidence threshold are not registered in notifications.</td><br />
</tr><br />
<tr><br />
<td>Send notification if the recognized face is in the list</td><br />
<td>For sending notification of the found persons for external resources, check the field of the choice. After that, there will be a field where it is necessary to select an event and to set parameters for notifications sending.</td><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select an event from a drop-down list in which parameters the notifications will be sent.</td><br />
</tr><br />
<tr><br />
<td>Additional parameters</td><br />
<td>If necessary you can add additional parameters for their further use during event creation. Fill in the fields of parameters. For parameters addition press the button “+”. To remove parameters press "-".</td><br />
</tr><br />
</table><br />
<br />
<strong>List color selection editing</strong><br><br />
For color selection press in the field Color<br><br />
The selected color of the list is displayed at records belonging to this list.<br><br />
<br />
[[File:Image2021-5-10 15-8-10.png|200px|none]]<br />
<br />
In the opened window select color which you want to appropriate to the list. For color selection press area with color gradation. The index will be in this field.<br><br />
<br />
Also, you can select the necessary color using color parameters entry fields. <br><br />
<br />
[[File:Image2021-5-10 14-48-25.png|200px|none]]<br />
<br />
To change a format, for color parameters input use the button of formats switching that is to the right of the format name.<br><br />
<br />
[[File:Image2021-5-10 14-48-42.png|200px|none]]<br />
<br />
Also, you can select a color using a range of colors that is under a zone of color addition. There is an index in the range. Move the index to the necessary place. Changes will be displayed in the color adding zone.<br><br />
<br />
[[File:Image2021-5-10 14-49-56.png|200px|none]]<br />
<br />
To save the color close a window of the color selection, by pressing the screen area outside the window of color selection.<br><br />
<br />
To close a window of color selection, press to any place of the screen outside a window of list color addition.<br><br />
To accept the changes press <strong>Save</strong>.<br><br />
<br />
<strong>List deletion</strong><br><br />
For record removal press a basket icon in the right part of the screen.<br><br />
<br />
[[File:Image2021-5-10 15-10-11.png|1000px|none]]<br />
<br />
In the opened window press <strong>Yes</strong>, to confirm the removal. Press <strong>No</strong> to cancel the removal.<br><br />
<br />
For notification activation or stop put the status slider in the relevant provision:<br><br />
<br />
[[File:Image2021-5-10 15-10-27.png|350px|none]]<br />
<strong>List viewing</strong><br><br />
<br />
By pressing the list name or a viewing icon [[File:Eye.png|40px]] you will pass into the section for viewing of information on this list.<br><br />
In list viewing it is possible to perform the search by surname and name of the person or by photo.<br><br />
To find the person from the list by surname and name, enter in whole or in part the information which you want to find in the field <strong>Surname and Name.</strong><br><br />
<br />
To find the person by photo press the button <strong>Search by Photo</strong> and load the photo according to which the search is performed.<br><br />
<br />
[[File:Image2021-5-10 15-11-53.png|1000px|none]]<br />
<br />
<strong>Adding a person to the list</strong><br />
To add a new record, press <strong>Add Person</strong> in the screen upper right corner.<br><br />
<br />
[[File:Image2021-5-10 15-12-26.png|500px|none]]<br />
<br />
Fill the fields in the opened window:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Full name</td><br />
<td>Enter a person's name and surname into the field.</td><br />
</tr><br />
<tr><br />
<td>Message</td><br />
<td>Enter the message into the field. The message should contain information about the person.</td><br />
</tr><br />
</table><br />
<br />
Press the button <strong>Load a Photo</strong> to add a photo of the person.<br><br />
To create a record, press <strong>Save</strong>.<br><br />
<br />
<strong>Generate a report</strong><br><br />
If the <strong>Time&Attendance</strong> function was activated for a list, you have the ability to generate an attendance <strong>report</strong>.<br><br />
For this purpose click on the <strong>Generate a report</strong> button.<br><br />
<br />
[[File:1generate.jpg|1000px|none]]<br />
<br />
The following window will be opened.<br><br />
<br />
[[File:Image2021-7-1 17-45-1.png|500px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Period</td><br />
<td>Select date and time range.</td><br />
</tr><br />
<tr><br />
<td>Type</td><br />
<td>Select report export file type Excel or JSON.</td><br />
</tr><br />
</table><br />
<br />
Click on the <strong>GENERATE</strong> button to download a report.<br><br />
<br />
== Events <br> ==<br />
<br />
To view the history of recognized faces, select <strong>Face Recognition</strong> in the left menu and pass to the <strong>Events</strong> section.<br><br />
<br />
[[File:Events.png|1000px|none]]<br />
<br />
<strong>Events Search</strong><br><br />
The search field is at the top of the page.<br><br />
<br />
[[File:2ev.jpg|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Full Name</td><br />
<td>Enter wanted person's full name or a part of it.</td><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Click on the field and select the necessary time period.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>Select the necessary list (or All Lists/Off the List).</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select the camera on which you want to see notifications.</td><br />
</tr><br />
<tr><br />
<td>Gender</td><br />
<td>Select a specific gender.</td><br />
</tr><br />
<tr><br />
<td>Mask</td><br />
<td>Click on the field and set if a medical mask should be present on the face. </td><br />
</tr><br />
<tr><br />
<td>Match Percentage</td><br />
<td>Move the markers along the scale to set the range of coincidence in percent</td><br />
</tr><br />
</table><br />
<br />
Press <strong>Search</strong> to display the search results. Press <strong>Reset</strong> to clear the entry fields.<br><br />
<br />
<strong>Events View</strong><br><br />
To go to the list view mode, press the corresponding icon in the upper-right corner.<br><br />
<br />
[[File:3ev.jpg|1000px|none]]<br />
<br />
To return to the grid view mode, press the corresponding icon in the upper-right corner again.<br><br />
<br />
[[File:4ev.jpg|1000px|none]]<br />
<br />
Each event contains a frame preview, information about <strong>Name, List, Camera, Gender, Age, Mask, Date, and Message.</strong><br><br />
<br />
To view a full-size frame of the desired event, click on the <strong>View</strong> button in the Frame column if you use a list view mode,<br><br />
<br />
[[File:9ev.jpg|1000px|none]]<br />
<br />
or click on the frame preview if you use a grid view mode.<br><br />
<br />
[[File:8ev.jpg|1000px|none]]<br />
<br />
Press "+" to <strong>Zoom</strong> in or "-" to <strong>Zoom</strong> out the frame. Press "~" to return the frame to the default size.<br><br />
<br />
[[File:5ev.jpg|1000px|none]]<br />
<br />
If desired, it is possible to save the image by pressing the Save Image button.<br><br />
<br />
<strong>Personal Information</strong><br><br />
<br />
To view more complex personal information about a specific person, click on the person's name.<br><br />
<br />
[[File:7ev.jpg|1000px|none]]<br />
<br />
To <strong>Edit or Delete</strong> personal data, click on the corresponding icon.<br><br />
<br />
== Files Search <br> ==<br />
If you have run analytics with a <strong>video file</strong> instead of the video stream, you can view the search results in the <strong>Files Search</strong> section of the <strong>Face Recognition</strong> module.<br />
<br />
[[File:FS.png|1000px|none]]<br />
<br />
<strong>Filter</strong><br><br />
<strong>Filter fields </strong> are located at the top of the screen.<br><br />
<br />
[[File:2FS.jpg|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Filter fields</th><br />
<th>Parameter</th><br />
</tr><br />
<tr><br />
<td>Start, min</td><br />
<td>Fill in the start point of a video stream in minutes.</td><br />
</tr><br />
<tr><br />
<td>End, min</td><br />
<td>Fill in the endpoint of a video stream in minutes.</td><br />
</tr><br />
<tr><br />
<td>Cameras</td><br />
<td>You can choose the required file name from the drop-down list.</td><br />
</tr><br />
</table><br />
<br />
Enter <strong>required parameters</strong> and press <strong>Find</strong> to show search results. Press <strong>Reset</strong> to clean the entry fields.<br><br />
<br />
<strong>Search Results</strong><br><br />
Search results are displayed in the table below.<br><br />
<br />
[[File:3FS.jpg|1000px|none]]<br />
<br />
If you want the results displayed in a grid mode click on the icon in the upper right corner of the page.<br><br />
<br />
[[File:4FS.jpg|1000px|none]]<br />
<br />
To return to list view mode click the appropriate icon in the upper right corner again.<br><br />
<br />
[[File:5FS.jpg|1000px|none]]<br />
<br />
<strong>Adding Person to List</strong><br><br />
If the person is not on the list, but it is necessary to add the person, press the <strong>Add to List</strong> button.<br><br />
<br />
[[File:6FS.jpg|1000px|none]]<br />
<br />
The following window will be opened.<br><br />
<br />
[[File:7FS.jpg|1000px|none]]<br />
<br />
To add a person enter a full name, notes and also select one of the existing lists. When fields are filled in click on the <strong>Save</strong> button to add a person to the list.<br><br />
<br />
<strong>Frame View</strong><br />
To enlarge the picture in recognized face record, press an icon of Zoom [[File:Zoom.png|40px]]<br><br />
<br />
[[File:8FS.jpg|1000px|none]]<br />
<br />
It is possible to save an image with a recognized face by clicking on the <strong>Save Image</strong> button.<br><br />
<br />
[[File:10FS.png|1000px|none]]<br />
<br />
== API ==<br />
API Documentation: http://vca2.vcloud.ai:2001/swagger/face</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=EN&diff=1028EN2023-11-14T06:40:52Z<p>Vcloudai: /* Cluebase VMS Architectural and Engineering Specification */</p>
<hr />
<div>__NOTOC__<br />
== [[Cluebase VMS User Manual]] ==<br />
<br />
== [[Cluebase VMS Installation Manual]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_Installation_Manual&diff=1027Cluebase VMS Installation Manual2023-11-13T20:27:44Z<p>Vcloudai: </p>
<hr />
<div><strong>Installation manual Contents</strong><br />
<br />
== Preparation ==<br />
Download cluebase.zip from https://vcloud.ai/downloads and unzip the file. Please note that in some versions of Linux the unzip application is not included so you'll need to install it separately with the following command: <br />
sudo apt install unzip<br />
Now unzip the Cluebase VMS installer with the following command:<br />
sudo unzip cluebase.zip<br />
The above command creates a directory containing the installation files. <br />
<br />
Go to CluebaseVMS directory:<br />
cd CluebaseVMS<br />
Now you have to provide permissions to the installation script (install.sh):<br />
sudo chmod +x install.sh<br />
You are all set for the installation.<br />
<br />
== Automatic installation ==<br />
<br />
<br />
Docker container framework and Docker-compose extension are required for Cluebase VMS installation and operation.<br><br />
<br />
=== Installing on Linux ===<br />
Please run the install.sh script to automatically install Cluebase VMS on a clean Linux OS.<br><br />
<br />
To run the script, please go to the folder containing “install.sh” and run the following command: <br><br />
<br />
$ sudo sh install.sh <br><br />
<br />
== Installing the SSL version ==<br />
Here are the steps to install Cluebase VMS with SSL encryption:<br />
<br />
# Download Cluebase VMS SSL installer . Please note that it comes as a separate install package and available at https://vcloud.ai/downloads<br />
# Prepare SSL certificate and public key that are generated for the required domain name.<br />
# Unzip the installation package.<br />
# Navigate to 'certs' directory in the installation package.<br />
# Copy the SSL certificate and public key (file should be named as follows: cert.crt - SSL certificate, cert.key - public). The existing files should be replaced or removed before <br />
# Provide permissions to the installation script by this command:<br />
<br />
sudo chmod +x install.sh<br />
7. Run the installation script: <br />
$ sudo sh install.sh<br />
<br />
== Manual installation ==<br />
<br />
=== Installing Docker on Linux ===<br />
Official Docker installation guide: https://docs.docker.com/engine/install/ubuntu/<br><br />
<br />
Run the following command:<br><br />
<br />
$ sudo apt-get update && apt-get install docker-ce docker-ce-cli containerd.io <br><br />
<br />
=== Installing docker-compose on Linux ===<br />
Run the following command:<br><br />
<br />
$ sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose <br><br />
<br />
Grant the necessary access rights by running the following command:<br><br />
<br />
$ sudo chmod +x /usr/local/bin/docker-compose <br><br />
<br />
=== <strong>Preparation for manual VMS installation </strong> ===<br />
You will need to edit the environment variable file, the .env file, to successfully install the VMS.<br><br />
<br />
Please note that this file is hidden in the folder by default. <br><br />
<br />
Open the .env file and specify the server's IP address in the following fields: <br><br />
<br />
APP_HOST=0.0.0.0 (the server's public IP address) MACHINE_HOST=0.0.0.0 (local IP address of the server) <br><br />
<br />
If the VMS should only be used in the local network, both IP addresses will be the same. <br />
<br />
=== Using a custom port for the VMS ===<br />
By default the VMS installs and runs on port 80. However you can configure a different port by amending the .env file.<br />
<br />
Open the .env file and add NGINX_PORT variable and it's value (port number) as shown on the screenshot.<br />
[[File:Editing .env file .jpg|thumb|none|557x557px]]<br />
<br />
=== Installing and running VMS ===<br />
<br>Enter the VMS folder and run the following command: <br><br />
<br />
$ sudo docker-compose up -d <br><br />
<br />
This command will automatically download, install and run VMS. <br />
<br />
=== Failover ===<br />
<br />
===== Description =====<br />
Cluebase VMS supports failover (hot swap) functionality as the following options:<br />
<br />
# 1 to 1 - every server in the system has a failover server<br />
# Many to 1 - several servers can be hot-swapped by 1 failover server<br />
# Many to Many - several servers can be hot-swapped by several failover servers<br />
<br />
===== Important =====<br />
<br />
# In case of using the failover functionality it’s important to make sure that network storage is being used (Object storage or NAS)<br />
# Failover server hardware should be able to handle the required number of cameras so the failover servers’ hardware should be precisely calculated and configured.<br />
# Configuration is automatically sent from main server to failover every 5 minutes<br />
#Please note that shutting down the main server manually is considered as maintenance and will not initiate the failover process.<br />
#After switching back from failover server to the main server it is required to reset failover server's configuration or reboot.<br />
<br />
===== Setup =====<br />
To set up a failover system you need to have at least 1 main server and 1 failover server.<br />
<br />
Go to the main server user interface and open Failover settings: Settings->Failover->Add Failover Server and fill the fields with Failover server credentials. In the Logic field choose the server or servers that should be hot-swapped by the current Failover server. Then click Save.<br />
[[File:Failover settings.png|none|thumb]]<br />
<br />
<br />
<br><br />
<br />
== Sign in ==<br />
Open a web browser (Google Chrome, Mozilla Firefox and Safari are recommended), enter the server's IP address and press Enter. <br><br />
[[File:Picture 24.png|thumb|none]]<br><br />
By default login and password: admin/admin.<br />
<br />
== Server IP update ==<br />
sudo ./newIP.sh<br />
<br />
== Stopping the VMS ==<br />
Run the following command from the VMS folder to stop the VMS server:<br><br />
<br />
$ sudo ./stop.sh<br><br />
<br />
== Updating VMS ==<br />
To update VMS version:<br><br> <br />
$ sudo ./update.sh<br> <br />
<br />
== Start VMS ==<br />
$ sudo ./start.sh<br></div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_Installation_Manual&diff=1026Cluebase VMS Installation Manual2023-11-13T20:26:07Z<p>Vcloudai: /* Stopping the VMS */</p>
<hr />
<div><strong>Installation manual Contents</strong><br />
<br />
== Preparation ==<br />
Download cluebase.zip from https://vcloud.ai/downloads and unzip the file. Please note that in some versions of Linux the unzip application is not included so you'll need to install it separately with the following command: <br />
sudo apt install unzip<br />
Now unzip the Cluebase VMS installer with the following command:<br />
sudo unzip cluebase.zip<br />
The above command creates a directory containing the installation files. <br />
<br />
Go to CluebaseVMS directory:<br />
cd CluebaseVMS<br />
Now you have to provide permissions to the installation script (install.sh):<br />
sudo chmod +x install.sh<br />
You are all set for the installation.<br />
<br />
== Automatic installation ==<br />
<br />
<br />
Docker container framework and Docker-compose extension are required for Cluebase VMS installation and operation.<br><br />
<br />
=== Installing on Linux ===<br />
Please run the install.sh script to automatically install Cluebase VMS on a clean Linux OS.<br><br />
<br />
To run the script, please go to the folder containing “install.sh” and run the following command: <br><br />
<br />
$ sudo sh install.sh <br><br />
<br />
== Installing the SSL version ==<br />
Here are the steps to install Cluebase VMS with SSL encryption:<br />
<br />
# Download Cluebase VMS SSL installer . Please note that it comes as a separate install package and available at https://vcloud.ai/downloads<br />
# Prepare SSL certificate and public key that are generated for the required domain name.<br />
# Unzip the installation package.<br />
# Navigate to 'certs' directory in the installation package.<br />
# Copy the SSL certificate and public key (file should be named as follows: cert.crt - SSL certificate, cert.key - public). The existing files should be replaced or removed before <br />
# Provide permissions to the installation script by this command:<br />
<br />
sudo chmod +x install.sh<br />
7. Run the installation script: <br />
$ sudo sh install.sh<br />
<br />
== Manual installation ==<br />
<br />
=== Installing Docker on Linux ===<br />
Official Docker installation guide: https://docs.docker.com/engine/install/ubuntu/<br><br />
<br />
Run the following command:<br><br />
<br />
$ sudo apt-get update && apt-get install docker-ce docker-ce-cli containerd.io <br><br />
<br />
=== Installing docker-compose on Linux ===<br />
Run the following command:<br><br />
<br />
$ sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose <br><br />
<br />
Grant the necessary access rights by running the following command:<br><br />
<br />
$ sudo chmod +x /usr/local/bin/docker-compose <br><br />
<br />
=== <strong>Preparation for manual VMS installation </strong> ===<br />
You will need to edit the environment variable file, the .env file, to successfully install the VMS.<br><br />
<br />
Please note that this file is hidden in the folder by default. <br><br />
<br />
Open the .env file and specify the server's IP address in the following fields: <br><br />
<br />
APP_HOST=0.0.0.0 (the server's public IP address) MACHINE_HOST=0.0.0.0 (local IP address of the server) <br><br />
<br />
If the VMS should only be used in the local network, both IP addresses will be the same. <br />
<br />
=== Using a custom port for the VMS ===<br />
By default the VMS installs and runs on port 80. However you can configure a different port by amending the .env file.<br />
<br />
Open the .env file and add NGINX_PORT variable and it's value (port number) as shown on the screenshot.<br />
[[File:Editing .env file .jpg|thumb|none|557x557px]]<br />
<br />
=== Installing and running VMS ===<br />
<br>Enter the VMS folder and run the following command: <br><br />
<br />
$ sudo docker-compose up -d <br><br />
<br />
This command will automatically download, install and run VMS. <br />
<br />
=== Failover ===<br />
<br />
===== Description =====<br />
Cluebase VMS supports failover (hot swap) functionality as the following options:<br />
<br />
# 1 to 1 - every server in the system has a failover server<br />
# Many to 1 - several servers can be hot-swapped by 1 failover server<br />
# Many to Many - several servers can be hot-swapped by several failover servers<br />
<br />
===== Important =====<br />
<br />
# In case of using the failover functionality it’s important to make sure that network storage is being used (Object storage or NAS)<br />
# Failover server hardware should be able to handle the required number of cameras so the failover servers’ hardware should be precisely calculated and configured.<br />
# Configuration is automatically sent from main server to failover every 5 minutes<br />
#Please note that shutting down the main server manually is considered as maintenance and will not initiate the failover process.<br />
#After switching back from failover server to the main server it is required to reset failover server's configuration or reboot.<br />
<br />
===== Setup =====<br />
To set up a failover system you need to have at least 1 main server and 1 failover server.<br />
<br />
Go to the main server user interface and open Failover settings: Settings->Failover->Add Failover Server and fill the fields with Failover server credentials. In the Logic field choose the server or servers that should be hot-swapped by the current Failover server. Then click Save.<br />
[[File:Failover settings.png|none|thumb]]<br />
<br />
<br />
<br><br />
<br />
== Sign in ==<br />
Open a web browser (Google Chrome, Mozilla Firefox and Safari are recommended), enter the server's IP address and press Enter. <br><br />
[[File:Picture 24.png|thumb|none]]<br><br />
By default login and password: admin/admin.<br><br />
<br />
== Stopping the VMS ==<br />
Run the following command from the VMS folder to stop the VMS server:<br><br />
<br />
$ sudo ./stop.sh<br><br />
<br />
== Updating VMS ==<br />
To update VMS version:<br><br> <br />
$ sudo ./update.sh<br> <br />
3.Start VMS:<br> <br />
$ sudo ./start.sh<br></div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_User_Manual&diff=1025Cluebase VMS User Manual2023-11-13T19:40:30Z<p>Vcloudai: </p>
<hr />
<div><strong>Cluebase VMS by vCloud.ai User manual</strong><br />
<br />
== Purpose of the VMS <br> ==<br />
Cluebase VMS (video management system) is a software product that allows connecting video cameras to the server for further recording, live view and multiple additional functions. <br><br />
Cluebase VMS is distributed as an open-platform commercial product under End User License Agreement. <br><br />
<br />
== System description <br> ==<br />
Cluebase VMS consists of the following parts: <br><br />
2.1. Front-end (Web/Lunix/MacOs/Windows)<br><br />
2.2. Back-end: server-side application that runs in the background<br><br />
Cameras connect to Cluebase VMS via ONVIF and RTSP protocols. <br><br />
Users can connect to the cloud unlimited number of cameras individually and set individual recording plans on them.<br><br />
<br />
== Hardware requirements<br> ==<br />
Minimal server requirements: Dual-core ARM or Intel/AMD (32 or 64 bit), 2GB RAM, 2GB HDD/SSD.<br />
Desktop client requires a PC or Mac computer with Intel/AMD 32 or 64 bit, Apple Silicon or other ARM CPU with at least 2 cores of 1.5 GHz each. <br />
Supported browsers: Google Chrome v.92+, Mozilla Firefox v.90+, Safari v.14+<br><br />
<br />
== Compatibility<br> ==<br />
4.1. Codecs: Cluebase VMS is ready to work with any h.264 and h.265.<br><br />
4.2. All IP cameras and DVR/NVR are compliant.<br><br />
<br />
== Client app installation<br> ==<br />
Please note that Web client application is available instantly by accessing the server’s IP address via a web-browser. However is you need to install a client application on you desktop they available for downloading at https://vcloud.ai/downloads<br><br />
<br />
a. Installing Linux app<br><br />
Once you’ve downloaded file Cluebase_VMS_Linux_x_x.deb you can install it from the UI by double-clicking and following the screen instructions or you can do it from the command line:<br><br />
sudo apt install Cluebase_ VMS_Linux_x_x.deb<br><br />
<br />
b. Installing Windows app<br><br />
Once you’ve downloaded file Cluebase_VMS_WIN_x_x.exe you can install it from the UI by double-clicking and following the screen instructions.<br><br />
<br />
c. Installing MacOS app<br><br />
Once you’ve downloaded file Cluebase_VMS_MacOS_x_x.dmg you can install it from the UI by double-clicking and following the screen instructions.<br><br />
<br />
== Signing in<br> ==<br />
After running the application for the first time you should see the Sign in screen. <br><br />
[[File:Picture 1.png|thumb|none]]<br><br />
<br />
Please enter your valid login and password and click Sign in. After installation you can use the default credentials: admin/admin.<br><br />
<br />
== License activation<br> ==<br />
Go to Settings->Services->VMS->vCloud.ai VMS->VMS License Request, fill the customer e-mail and name fields, specify the required licenses and click Send License Request. Your request will be delivered to vCloud.ai sales team so, in return, you should receive the License activation key file to your email. <br><br />
[[File:Picture 2.png|thumb|none]]<br><br />
<br />
Once received, you can Upload the license file at the screen bottom and click Activate.<br><br />
[[File:Picture 3.png|thumb|none]]<br><br />
Your license activation page should look as on the picture below:<br><br />
[[File:Picture 4.png|thumb|none]]<br><br />
<br />
== Adding cameras<br> ==<br />
[https://youtu.be/zrzHZssZru8 Watch How to add cameras video in Cluebase VMS Tutorials on YouTube]<br />
<br />
8.1. Camera search tool<br><br />
Camera search tool is created to simplify and speed up cameras discovery and connection processes.<br><br />
<br />
Go to Settings->Cameras->Search<br><br />
<br />
[[File:Picture 5.png|thumb|none]]<br><br />
<br />
All supported cameras in the local network will be found automatically (normally within 5-10 seconds). <br><br />
<br />
After specifying cameras’ credentials (name/login/password) you can add them one by one using the ‘+’ button on the left<br><br />
[[File:Picture 6.png|thumb|none]]<br><br />
Or you can click Add all devices to add all cameras with the specified credentials.<br><br />
<br />
Click Refresh search to search the network again.<br><br />
<br />
You can specify the search range manually. <br><br />
[[File:Picture 7.png|thumb|none]]<br><br />
By default the system will search in the current subnet.<br><br />
<br />
8.2. Add cameras manually<br><br />
<br />
Go to Settings->Cameras->Add camera<br><br />
Name the camera, select connection type (ONVIF or RTSP) fill the IP address and port for ONVIF or the URL for the RTSP, fill Login and Password with camera’s credentials, select the time zone then click Add.<br><br />
<br />
[[File:Picture 8.png|thumb|none]]<br><br />
Your camera should then appear in All cameras/Devices section<br><br />
[[File:Picture 9.png|thumb|none]]<br />
<br />
<br />
8.3 Create a New Layout for the cameras <br />
<br />
[https://youtu.be/SVz-150uOLA Watch Creating a New Layout video in Cluebase VMS Tutorials on YouTube]<br><br />
<br />
== Storage settings<br> ==<br />
By default the VMS should identify all mounted drives from the system. <br><br />
[[File:Picture 10.png|thumb|none]]<br><br />
To enable a storage volume for recording please select the storage volume and switch it on:<br><br />
[[File:Picture 11.png|thumb|none]]<br />
Then select the cameras that are required to be recorded, set archive depth, select quality and click Save. The storage will be activated for recording immediately.<br />
<br />
== User access management<br> ==<br />
10.1. Managing roles<br><br />
Go to Settings->Users->Add role<br><br />
[[File:Picture 12.png|thumb|none]]<br><br />
Name the role and grant access to specific cameras and functions. Click save.<br><br />
Please note that all users with this role will then have access to the specified cameras and functions.<br><br />
10.2. Managing users<br><br />
Go to Settings->Users->Add new user<br><br />
[[File:Picture 13.png|thumb|none]]<br><br />
<br />
Specify the new user credentials: Username, Password and the required Role. Access granted to the selected Role is be indicated below but is not available for editing. To edit the permissions you need to edit the Role by clicking the pencil button <br><br />
[[File:Picture 14.png|thumb|none]]<br><br />
<br />
== Map setup<br> ==<br />
To be able to locate the camera on the map you can add the coordinates or simply drag the camera across the map and then click Save.<br />
[[File:Picture 15.png|thumb|none]]<br />
<br />
== Layout setup<br> ==<br />
Click '''New layout''' in the main menu<br />
[[File:Picture 16.png|thumb|none]]<br />
The '''Layout''' editing page will open<br />
[[File:Picture 17.png|thumb|none]]<br />
Give your new layout a '''Name''', choose '''Layout template''' and drag’n’drop cameras or whole groups to the layout grid on the right-hand side.<br />
[[File:Picture 18.png|thumb|none]]<br />
Click Save to save your layout.<br />
<br />
To edit existing layouts, click the Pencil button in the layout tab menu at the top of the screen:<br />
[[File:Picture 19.png|thumb|none]]<br />
<br />
== Camera groups<br> ==<br />
Go to Settings->Cameras->Add group and fill the group name field. Then click “Add”<br />
[[File:Picture 20.png|thumb|none]]<br />
To edit a group click the ‘pencil’ icon on the right side of the group.<br />
[[File:Picture 21.png|thumb|none]]<br />
Now you can edit or delete the group.<br />
[[File:Picture 22.png|thumb|none]]<br />
To add a camera to a particular group go to camera settings and select the required group.<br />
[[File:Picture 23.png|thumb|none]]<br />
<br />
== Failover ==<br />
Description:<br />
<br />
Cluebase VMS supports failover (hot swap) functionality as the following options:<br />
<br />
# 1 to 1 - every server in the system has a failover server<br />
# Many to 1 - several servers can be hot-swapped by 1 failover server<br />
# Many to Many - several servers can be hot-swapped by several failover servers<br />
<br />
Please note:<br />
<br />
# In case of using the failover functionality it’s important to make sure that network storage is being used (Object storage or NAS)<br />
# Failover server hardware should be able to handle the required number of cameras so the failover servers’ hardware should be precisely calculated and configured.<br />
# Configuration is automatically sent from main server to failover every 5 minutes<br />
<br />
Set up:<br />
<br />
To set up a failover system you need to have at least 1 main server and 1 failover server.<br />
<br />
Go to the main server user interface and open Failover settings: Settings->Failover->Add Failover Server and fill the fields with Failover server credentials. In the Logic field choose the server or servers that should be hot-swapped by the current Failover server. Then click Save.<br />
<br />
== Technical support<br> ==<br />
vCloud.ai technical support is operating 24/7, the average reply time is 3 hours.<br />
Technical support can be requested via email: [mailto:support@vcloud.ai support@vcloud.ai]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_Architectural_and_Engineering_Specification&diff=1024Cluebase VMS Architectural and Engineering Specification2023-11-13T19:35:37Z<p>Vcloudai: </p>
<hr />
<div>'''General Description'''<br />
<br />
<br />
1. Cluebase video management system (VMS) is an enterprise-level client/server-based smart IP video security solution that provides management of video, audio and other data across an IP network. The video management system is designed to work with various ONVIF compliant 3<sup>rd</sup> party products. Video from other sites may be viewed from single or numerous workstations simultaneously at any time. <br />
<br />
2. The video management system can be deployed on a single PC for small or medium system applications or on separate interconnected PCs and servers to meet large systems requirements.<br />
<br />
3. The server part of VMS compatible with Linux and Windows OS (64-bit). Though recommended OS for server part is Ubuntu 18.04, 20.04 versions.<br />
<br />
4. The server part compatible with ARM, Intel and AMD CPUs.<br />
<br />
5. The server part fully docker container-based. <br />
<br />
6. The client part compatible with Linux, Windows and MacOS operating systems. <br />
<br />
7. There is web-based client. Supported browsers are Chrome, Edge, Firefox, Safari.<br />
<br />
8. Client part also has desktop Windows, Linux and MacOS applications. <br />
<br />
9. The VMS support cameras compliant to ONVIF Profile S. It is possible to scan the network for ONVIF cameras.<br />
<br />
10. It is possible to provide basic configuration of ONVIF cameras from within the VMS, such as general camera settings, recording profiles, audio profiles.<br />
<br />
11. It is possible to access camera’s web interface from the link in the VMS. <br />
<br />
12. It is possible to use the events provided by an ONVIF camera to trigger events and alarms in the Video Management System.<br />
<br />
13. It is possible for operator to control PTZ camera using virtual joystick. <br />
<br />
14. It is possible to record ONVIF compliant cameras.<br />
<br />
15. It is possible to display ONVIF compliant cameras in live view on a monitor connected to a PC.<br />
<br />
16. It is possible to connect cameras or other video sources via RTSP stream to VMS.<br />
<br />
17. It is possible to live view and record cameras connected via RTSP.<br />
<br />
18. The VMS is designed to use a facility’s existing IT infrastructure.<br />
<br />
19. The VMS is capable to be deployed in Local Area Networks (LAN) as well as in Wide Area Networks (WAN).<br />
<br />
20. The VMS allows an operator to control and view live and playback streams of cameras and receive alarms from a remote site (across WAN).<br />
<br />
21. The VMS is capable to be deployed in the cloud environment (containers, VMs). <br />
<br />
22. The VMS allows to view transcoded video streams (live and playback).<br />
<br />
23. Should be an option available to play live video in HLS (HTTP Live Streaming) or WebRTC (Web Real-Time Communication) protocols.<br />
<br />
24. The VMS shall allow the establishment of user groups that have access rights to specific cameras, layouts, camera settings, storage settings, system settings. <br />
<br />
25. The VMS supports export of the video and frame in the avi, mp4 and jpeg formats to a local or network drive.<br />
<br />
26. The VMS is designed in such a way that configuration changes to any part of the system will not interrupt operational tasks.<br />
<br />
27. The video management system supports enabling an encrypted communication between the server and client workstation. <br />
<br />
28. The server part provides management, monitoring, and control of the entire system. The server part maintains stream management, alarm management, central configuration and user management.<br />
<br />
29. The client part provides the user interface for system monitoring and operation. The client workstation maintains live monitoring, storage retrieval, and alarm handling.<br />
<br />
30. The video management system supports display of alarms in a special alarm panel. <br />
<br />
31. The video management system provides the capability to allow alarms to be filtered by type of the alarm, camera and time. <br />
<br />
32. The video management system allows to send an e-mail message in response to an alarm.<br />
<br />
33. The video management system allows to send messages to Telegram in response to an alarm.<br />
<br />
34. The video management system allows to send messages in the alarm panel, to an email address and Telegram in case of camera disconnection. <br />
<br />
35. The video management system supports API that allows for fetching live video streams and archive from 3rd party applications.<br />
<br />
36. The video management system provides the user of the client workstation with an option to select the video stream offered by a camera. For cameras configured to use two or more different streams for live view and for recording, operator shall be able to manually switch between the higher resolution stream and the lower resolution stream for a particular camera.<br />
<br />
37. The video management system provides the user of the client workstation with an option to enable an automatic switching between a high and a low-resolution stream. The video management system automatically switches to a low-resolution stream, if the user of the client workstation opens multiple cameras on a monitor. The video management system automatically switches to a high-resolution stream, when the user maximizes a camera on the monitor.<br />
<br />
38. The video management system support PTZ control with a dedicated graphical (virtual) joystick control, supporting Pan, Tilt, Zoom and Focus commands. For PTZ cameras, the cursor shall change to indicate the Pan/Tilt direction when hovering over the corresponding image pane. The Pan/Tilt speed shall increase as the cursor moves farther from the center of the virtual joystick. An additional control command near the Pan/Tilt command of the joystick shall be used for zoom-in/zoom-out control.<br />
<br />
39. The video management system shall support digital zoom of any image pane. The mouse wheel shall control digital zoom when the mouse cursor is hovering over a selected image pane.<br />
<br />
40. The video management system provides an instant playback function. Instant playback supports pause, play forward, play reverse, single step forward, single step reverse, fast-forward.<br />
<br />
41. The video management system shall support a timeline that provides a graphical overview of video stored on the disk for particular camera. The timeline shall display a timescale that can be adjusted. <br />
<br />
'''Video analytics''' <br />
<br />
42. The video management system provides an integration with a server-based analytics platform.<br />
<br />
43. The video analytic processing able to scale seamlessly by adding servers.<br />
<br />
44. The system should allow the use of a pool of video analytic algorithm on any camera. It should be easy to change an algorithm from a camera to another.<br />
<br />
45. The video analytic processing should be able to run on top of a server or to be virtualized using virtualization technologies.<br />
<br />
46.The system can offer the following video analytic:<br />
<br />
- Object Detection - identifies people, cars, busses, trucks, motorcycles and animals in a defined area/zone.<br />
<br />
- Face recognition – an algorithm for human identification and verification, based on the facial recognition as well as the age and gender estimation. The algorithm creates a database of all faces captured by video cameras and lets you search the database for similar faces.<br />
<br />
- License plate recognition - an algorithm for license plate recognition. Video streams can be processed to search for and recognize license plate numbers in the frame. These license plate numbers are saved to a database and associated with the relevant recorded video. The database is searchable. License plate numbers can be compared to lists in real time, with actions performed (or not performed) depending on whether or not a license plate is found in the list. Aside from license plates, system can recognize the make, model, and color of vehicle, as well as the country and direction of movement of the car. <br />
<br />
- Traffic Analytics - intended for the calculation of intensity and determination of traffic structure classify the types of vehicles (car, bus, truck, bicycle, motorbike). It also counts people and provides statistical report with graphs and pies by hours, days, weeks, months. <br />
<br />
- Crowd Detection - estimates the number of people within a given area in real time and triggers an alarm when a specified number of people (capacity) or a specified percentage of people (occupancy) is reached.<br />
<br />
- Hard Hat Detection - detects people not wearing helmets, records video and sends alarms.<br />
<br />
- Heat Map - color visual representation of data analysis of customer activity presented by color visual representation of data (warm and cold zones).<br />
<br />
- Age & Gender Detection - determines the gender of customers and their approximate age by detecting and analyzing the faces of visitors.<br />
<br />
- Motion Detection - captures any movement in the scene. The following rules can be applied: line crossing, loitering, intrusion, abandoned object, disappearance of an object.<br />
<br />
- Smoke & Fire Detection - recognizes smoke and fire in the image.<br />
<br />
- Smart Tracking System - search people by attributes (color of clothes, bag, hair, hat, gender, and age).<br />
<br />
- Body Movement Detection - identifies a person in different positions: sitting, standing, walking, lying, getting up.<br />
<br />
- Wagon Identification - detection and recognition of wagon UIC numbers.<br />
<br />
- Smart Parking - management of parking lot, detection of license plates of entering vehicles, recognition of model, direction of movement, and payment status of the car.<br />
<br />
47.It is possible to setup several “lists” in the database of the analytics platform. A list contains License plates or faces and related data.<br />
<br />
48. The analytics platform detects license plates or faces in the live stream provided by the cameras and shall match them against the license plates and faces stored in data-base of the analytics platform<br />
<br />
49.When there is a match, an event should be sent by the system to the video management system. Additional data such as the camera and the time of detection should be included in the event provided to the video management system.<br />
<br />
50. When the event provided by the analytics platform triggers an alarm in the video management system, the following content shall appear in the alarm panel of the VMS: <br />
<br />
- A cropped extract of the original image.<br />
<br />
- The corresponding face or license plate taken from the database of the analytics platform to allow the operator to compare the captured image with the reference image from data-base<br />
<br />
- Additional data related to the face or license plate stored in the data-base of the analytics platform (e.g. name of person etc.)<br />
<br />
51. All events and meta-data are displayed in the archive on a timeline of corresponding camera of the video management system as an icon. If pointing the mouse arrow at this icon, a frame with the image of an object that triggered an alarm should appear. <br />
<br />
52. System should support own AI-based embedded human and vehicle motion detection algorithm. <br />
<br />
'''User interface elements''' <br />
<br />
53. Video frame elements: <br />
<br />
<br />
- Should be able to switch from live video mode to archive mode. If video camera is being recorded switch button should appear as an activate. If not being recorded it should be in inactive status without possibility to click on it. <br />
<br />
<br />
- Should have button allowing instantly jump back to archive for a predefined number of seconds.<br />
<br />
<br />
- Should be a possibility to pause live video upon request and restart it by clicking on play button.<br />
<br />
<br />
- Should have date and time indicator, that allows to access archive at specified date and time.<br />
<br />
<br />
- Should have object counter element indicating number of detected objects of specific type. <br />
<br />
<br />
- Should have sound volume bar allowing to control sound from the camera with built-in microphone.<br />
<br />
<br />
- Should contain video analytics icon allowing to activate embedded AI-based motion detection analytics. <br />
<br />
<br />
- While clicking on video analytics “ai” icon, settings should be activated allowing to pre-configure embedded AI-based human and vehicle motion detection analytics. <br />
<br />
<br />
- In the pre-configurable settings, it should be possible to set the following parameters: enable video analytics button, sensitivity option in percentage, view zone button, send to alarm panel button, detections frequency in seconds, delay between detection in seconds, object type selection option. <br />
<br />
<br />
- If embedded human and vehicle motion detection analytics enabled the “ai” icon should turn green. When disabled it should be of a white color. <br />
<br />
<br />
- Stream management icon allowing to choose from lower and higher resolution video stream as well as allowing the system to perform automatic stream selection. <br />
<br />
<br />
- Google maps activation icon. If activated it partially overlays on the live video frame with the option to fully overlay on it indicating camera positioning on the map. <br />
<br />
<br />
- It should be possible to reload the video stream by clicking on a dedicated icon. <br />
<br />
<br />
- In the archive mode it should be possible to increase the video playback speed x2, x4, x8. <br />
<br />
<br />
- Video or frame can be exported by clicking on dedicated icons. Video can be exported in mp4 or avi formats. Frame can be exported in jpeg format. <br />
<br />
<br />
- It should be possible to expand and narrow down the archive timeline by scrolling the mouse wheel while pointing on a timeline or by clicking on the plus and minus buttons.<br />
<br />
<br />
54. Upper menu panel:<br />
<br />
<br />
- All created layouts should appear in the menu panel. Each of them should have unique name. <br />
<br />
<br />
- All layouts displayed in the menu panel should be editable right from the panel. <br />
<br />
<br />
- It should be possible to move layouts by holding the mouse cursor and dragging them left and right. <br />
<br />
<br />
- It should be possible to hide upper menu panel by clicking on dedicated icon in a such way that it appears whenever user point mouse cursor back at the same area. <br />
<br />
<br />
- There should be an icon on menu panel that allows to work in tutorial mode. Once activated is should be possible to point by mouse cursor at any user interface element and receive short explanation what is this element created for. <br />
<br />
<br />
- There should be possibility to access expandable main menu from upper menu panel. <br />
<br />
<br />
- There should be an alarm indicator that changes the color and creates sound whenever alarm is triggered. <br />
<br />
<br />
55. Alarm panel: <br />
<br />
<br />
- There should be a possibility to expand alarm panel by clicking on dedicated icon in the upper panel menu. <br />
<br />
<br />
- Alarm panel should have an option to filter events by: type of event, cameras and time of the event. <br />
<br />
<br />
- Each video analytics event should contain the following minimum information: frame (picture of the object), type of the analytics, camera, object type, and time and date of triggering.<br />
<br />
<br />
- If alarm is triggered by face recognition or license plate recognition analytics event may also contain the name of the person from the list. <br />
<br />
<br />
- There should be “apply” button to filter events and “reset” button to return to default status. <br />
<br />
<br />
- The latest triggered event should appear in the top of the list. <br />
<br />
<br />
- Alarm panel should have chat field so different users of the system could communicate through this chat. <br />
<br />
<br />
56. Layout settings: <br />
<br />
<br />
- Layout configuration should be accessible from either by editing existing layouts or by accessing expandable main menu. <br />
<br />
<br />
- Layout settings should consist of: layout name field, layout templates, camera list, groups of cameras and save and cancel buttons. <br />
<br />
<br />
- System should have the following layout templates: 1 camera, 4 cameras, 9 cameras, 16 cameras, 25 cameras, 36 cameras, all cameras. <br />
<br />
<br />
- System should allow to add camera by drag and drop method to one of the chosen layouts using mouse cursor. <br />
<br />
<br />
- System should allow to drag and drop individual camera or the whole group. <br />
<br />
<br />
- Once layout created it should be possible to change position of live streaming cameras by drag and drop method without accessing layout settings. <br />
<br />
<br />
'''Camera settings''' <br />
<br />
57. Camera settings should consist of the following elements: name of the server, camera groups, individual cameras, manual camera adding option, adding group of cameras option, option to bind two or more servers, automatic camera search option. <br />
<br />
<br />
58. Individual camera setting should consist of the following elements:<br />
<br />
<br />
- Unique camera number field.<br />
<br />
<br />
- Device name field.<br />
<br />
<br />
- Camera ID.<br />
<br />
<br />
- Camera group field.<br />
<br />
<br />
- Recording schedule field.<br />
<br />
<br />
- Camera type field. <br />
<br />
<br />
- If camera being added through RTSP then RTSP URL field followed by login and password fields. <br />
<br />
<br />
- Receive event check box for events from integrated cameras.<br />
<br />
<br />
- Generate RTSP checkbox to create RTSP link. <br />
<br />
<br />
- PTZ checkbox for cameras added through ONVIF or native protocols.<br />
<br />
<br />
- Option to reset settings. <br />
<br />
<br />
- Frame showing camera live stream. <br />
<br />
<br />
- Option to set camera location on the google map.<br />
<br />
<br />
- Coordinates filed allowing to set camera on the google map by entering precise coordinates of the location. <br />
<br />
<br />
59. Manual camera adding option should consist of the following fields: device name, camera type, IP and port fields if camera being added through ONVIF, RTSP URL if camera being added through RTSP, login and password fields. <br />
<br />
<br />
60.Adding group of cameras setting should consist of add group field and add button. <br />
<br />
<br />
61. Bind server setting should consist of the following fields: server name, domain or IP address of the server, port, login and password.<br />
<br />
<br />
62. It should be possible to bind two or more servers in the local network or with public IP. <br />
<br />
<br />
63. It should be possible to bind two or more remotely distributed servers each of which is in their own local network using cloud link feature. It should be possible to manage local storage, access camera’s archive, create layouts and receive alarms from all of those binded local servers by 1 or more remote operators. <br />
<br />
64.Automatic camera search setting should consist of the following fields: range of IP addresses field, list of discovered cameras including IP address of the camera, camera name field, login, password and ping information in milliseconds, add all devices and refresh the search buttons. <br />
<br />
<br />
65. After automatic camera search done it should be possible to see the list of available cameras in the local network showing camera manufacturer’s name. <br />
<br />
<br />
'''Storage settings''' <br />
<br />
66. Storage setting should consist of the following elements: server name and hard drive discs. <br />
<br />
<br />
67. Hard drive disk should have the following settings and fields: <br />
<br />
<br />
- On and off buttons that activate storage.<br />
<br />
<br />
- Individual camera storage settings section.<br />
<br />
<br />
- Checkbox allowing to select individual camera.<br />
<br />
<br />
- Camera unique umber.<br />
<br />
<br />
- Camera name. <br />
<br />
<br />
- Archive depths in days field. <br />
<br />
<br />
- Recording quality drop down field.<br />
<br />
<br />
- Recording logics drop down field allowing to select the following options: full time recording, scheduled recording or recording by triggered alarm. <br />
<br />
<br />
- Storage bulk configuration section. <br />
<br />
<br />
- General storage limit for the selected hard drive in Gb. <br />
<br />
<br />
- Pre-recording and post-recording fields in seconds. <br />
<br />
<br />
- Storage capacity bar indicating used space and free space on a hard drive. <br />
<br />
<br />
68.VMS should allow to record video to local hard drive or object storage in the cloud. <br />
<br />
'''Analytics settings''' <br />
<br />
69. Analytics settings should consist of the following elements: server settings, notifications, alarms via emails. <br />
<br />
<br />
70.Server settings should consist of the following fields: <br />
<br />
<br />
- Video analytics server URL or IP address. <br />
<br />
<br />
- Video analytics server authorization API token. <br />
<br />
<br />
- Option to store metadata in days. <br />
<br />
<br />
71. Notifications settings should consist of the following fields: <br />
<br />
<br />
- Send email upon event occurrence with ability to enable and disable this option with the dedicated buttons.<br />
<br />
<br />
- Send event to Telegram messenger upon event occurrence including fields for Telegram bot API token and Telegram chat ID with ability to enable and disable this option with the dedicated buttons. <br />
<br />
<br />
- Send notification when camera connection is lost with checkboxes that allow to select where to send. There should be 3 options available: email, Telegram and alarm panel. <br />
<br />
<br />
72. Alarm via email settings should be available for events from integrated cameras’ edge analytics and should consist of the following fields: <br />
<br />
<br />
- Buttons to enable or disable receiving alarms form the camera.<br />
<br />
<br />
- Fields to enter: email address, password, IMAP host and IMAP port. <br />
<br />
<br />
'''License settings''' <br />
<br />
73. License settings should consist of two statuses: before the license has been activated and after activation status. <br />
<br />
<br />
74.License activation status should consist of the following fields: <br />
<br />
<br />
- Customer email.<br />
<br />
<br />
- Customer name.<br />
<br />
<br />
- Number of required camera licenses. <br />
<br />
<br />
- Type of license allowing to choose temporary or permanent license.<br />
<br />
<br />
- Send license request button. <br />
<br />
<br />
- Buttons allowing to upload activation file and activate licenses. <br />
<br />
<br />
75. After licenses were activated license setting should contain the following information: <br />
<br />
<br />
- License type: permanent or temporary. <br />
<br />
<br />
- Customer email address.<br />
<br />
<br />
- Customer name. <br />
<br />
<br />
- Number of activated licenses. <br />
<br />
<br />
- License status. <br />
<br />
<br />
'''Users settings''' <br />
<br />
<br />
76. Users settings menu should consist of created users and roles assigned to the users, option to add new user and option to add new role. <br />
<br />
<br />
77. By default, there should be admin role and admin user created. <br />
<br />
<br />
78. For admin user fields to change user name and user role should be disabled. User name should always remain as admin and user role should always remain as Admin. <br />
<br />
<br />
79. Add new user setting should consist of the following elements: <br />
<br />
<br />
- Username filed.<br />
<br />
<br />
- Password field. <br />
<br />
<br />
- Dropdown menu to select a role. <br />
<br />
<br />
- Checkboxes showing cameras that are allowed to be controlled by the user.<br />
<br />
<br />
- Checkboxes showing current permissions set for the user: camera settings, storage settings, system settings, user settings, layout settings, analytics settings, camera archive access, exporting and alarm notifications. <br />
<br />
<br />
- Buttons that are enabled or disabled depending on set permissions for the user: archive status, access to microphones, access to reports. <br />
<br />
<br />
80. Add new role setting should consist of the following elements:<br />
<br />
<br />
- Role name filed. <br />
<br />
<br />
- Checkboxes allowing to select cameras to be controlled by the user by this specific role.<br />
<br />
<br />
- Checkboxes setting the following permissions for this specific role: camera settings, storage settings, system settings, user settings, layout settings, analytics settings, camera archive access, exporting and alarm notifications.<br />
<br />
<br />
- Buttons that should enabled or disabled the following permissions for the user: archive status, access to microphones, access to reports. <br />
<br />
<br />
'''Failover''' <br />
<br />
81. VMS should have advanced fault-tolerance capability by allowing to add standby server that will take configuration of the main server in case of crush of the main server. <br />
<br />
82. Failover architecture should allow to have one failover server for several working servers, one failover server for one working servers, or many failover servers for many working servers. <br />
<br />
83. It should be possible to use NAS (network attached storage) or OBS (object storage) to record video while using failover. <br />
<br />
84. It should be possible to use local or remote server as a failover server. <br />
<br />
'''General settings''' <br />
<br />
85. General settings menu should consist of the following settings: video stream, user interface, recording schedules, system information, cloud link, demo mode. <br />
<br />
<br />
86.Video stream settings should have possibility to set live stream and archive chunk size in seconds. <br />
<br />
<br />
87. There should be a possibility to enable and disable pulling both camera streams (lower and higher resolution) at the same time. <br />
<br />
<br />
88.User interface settings should allow to enable and disable automatic page reload after predefined number of seconds. <br />
<br />
<br />
89.Recording schedules setting should allow to set day of the week and time to schedule the recording of video in the archive. Possibility to create schedule should be easy and intuitive by double clicking on the schedule indicator and dragging the bar from side to side by holding mouse cursor. It also should include list of created scheduled in the drop-down menu. <br />
<br />
<br />
90.System information setting should include the following parameters: CPU load, RAM load, UI version and server version. <br />
<br />
<br />
91. Cloud link setting should allow to create tunnel between the server of the user and client machine of the user that connects to the server. By enabling cloud link system should generate URL that should allow the user without any additional VPN or public IP on a server side to connect to the server using his access credentials from any location. Server and client should have internet access. <br />
<br />
<br />
92. Demo mode setting should allow to enable four video clips that can be used as virtual cameras. <br />
<br />
<br />
93. VMS should allow to back up and restore VMS configuration. <br />
<br />
<br />
94.VMS should include event logs with possibility to filter by users, time and event type.<br />
<br />
<br />
95. Event type available for viewing in logs should include: <br />
<br />
<br />
- Log in/out.<br />
<br />
<br />
- Archive export.<br />
<br />
<br />
- Layout edit. <br />
<br />
<br />
- Analytics settings. <br />
<br />
<br />
- Camera settings.<br />
<br />
<br />
- Camera disconnected. <br />
<br />
<br />
- PTZ control.<br />
<br />
<br />
- Archive playback. <br />
<br />
<br />
- Event notification.<br />
<br />
<br />
- Storage settings. <br />
<br />
<br />
- License. <br />
<br />
<br />
- General settings. <br />
<br />
<br />
- Storage disconnected. <br />
<br />
<br />
- User settings. <br />
<br />
<br />
96. VMS should have an option to add customer own branding by changing name of the VMS, custom logo, favicon and login page image. <br />
<br />
<br />
97. It should be possible to remove branding setting from UI.<br />
<br />
<br />
98.VMS should have server time settings change option. <br />
<br />
'''Localization settings''' <br />
<br />
99. Localization setting should contain list of languages with checkboxes. Once user chooses preferred language user interface language should instantly change to the chosen language. <br />
<br />
'''Maps'''<br />
<br />
100. VMS should have separate maps configuration setting allowing to add google map or multi-floor map to the layout. <br />
<br />
<br />
101. It should be possible to upload floor map plan in JPG or PNG formats.<br />
<br />
<br />
102. It should be possible to add several floor maps and add them into the same frame in the layout with possibility to switch between floor maps.<br />
<br />
<br />
103. Camera can be added to floor map with possibility to draw polygon representing field of view of the camera. <br />
<br />
<br />
104. Once user clicked on camera icon on the floor map video frame should appear.<br />
<br />
<br />
'''Event search panel''' <br />
<br />
105. VMS should have separate event search panel. <br />
<br />
<br />
106. Event search panel should have the following filters: <br />
<br />
<br />
- Event type. <br />
<br />
<br />
- Camera. <br />
<br />
<br />
- Time frame.<br />
<br />
<br />
- Object type including: human, passenger car, bicycle, motorcycle, truck, bus, bag, animal. <br />
<br />
<br />
- Gender and age. <br />
<br />
<br />
- Name of the person added in the list. <br />
<br />
<br />
- Vehicle brand and model. <br />
<br />
<br />
- Licen plate number added in the list. <br />
<br />
<br />
107. Once user clicked on any of the snapshots of the event, the same enlarged snapshot should appear with possibility to:<br />
<br />
<br />
- Add comment.<br />
<br />
<br />
- Play video in the archive and see the event. <br />
<br />
<br />
- Export frame with the event. <br />
<br />
<br />
- Export video with the event. <br />
<br />
<br />
'''Chat GPT-based technical assistance'''<br />
<br />
108. VMS should have Chat-GPT based technical assistance. <br />
<br />
<br />
109. It should be possible to type in product related questions in the VMS UI.<br />
<br />
<br />
'''Alarm statistics'''<br />
<br />
110. VMS should have separate alarm statistics panel accessible either from menu or by clicking on object counter icon.<br />
<br />
<br />
111. It should be possible to filter statistics by time frame and cameras. <br />
<br />
<br />
It should be possible to have separate statistics for different alarms.</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Hard_Hat_Detection_Module&diff=1023VCloud.ai Hard Hat Detection Module2023-11-13T19:33:38Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><br />
== '''Main functionality''' ==<br />
<br />
* Recognition and notification of employees of production facilities, workshops or factories, construction sites in the workplace without a hardhat.<br />
* Data storage and transmission on violations of hardhats wearing regime.<br />
* Monitoring the level of security at construction or industrial facilities.<br />
<br />
== '''Product Description''' ==<br />
The '''Hard Hat''' '''Detection''' module is designed for rapid response to cases of non-compliance with safety regulations.<br />
<br />
'''Hard Hat module can be used for:'''<br />
<br />
* Prevent injuries in production or construction;<br />
* Monitoring the compliance with safety rules in places where equipment is used and installation works are performed;<br />
* Control of discipline on the construction site or at the places of loading/unloading of raw materials.<br />
<br />
'''System Requirements'''<br />
<br />
It is necessary to have the minimum system requirements for one video stream for Hard Hat Detection module installation on GPU as in the table below. For information on a bigger quantity of video streams address the official distributor of the VEZHA products. <br />
{| class="wikitable"<br />
|'''PARAMETER'''<br />
|'''RECOMMENDED VALUE'''<br />
|-<br />
|CPU<br />
|Intel Core i5-5575 or higher<br />
|-<br />
|RAM<br />
|2 GB RAM<br />
|-<br />
|GPU<br />
|NVIDIA 1030<br />
|-<br />
|Places for archive<br />
|up to 3GB per day (~4.5k detections)<br />
|-<br />
|Operating system<br />
|Ubuntu 20.04<br />
|}<br />
<br />
== '''Analytics''' ==<br />
To open the Hard Hat Detection analytics, select '''Hard Hat Detection''' in the left menu and pass to the '''Analytics''' section.<br />
[[File:K90.png|none|thumb]]<br />
In the '''Analytics''' section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, view, or delete analytics. <br />
<br />
There is a '''search field''' at the top of the page. Here you can filter analytics by the following parameters:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Camera <br />
|Analytics name or part of a name can be entered in this field<br />
|-<br />
|Status <br />
|Select the Analytics status from the drop-down list - All, Active, or Stopped<br />
|}<br />
To start the search click on the '''Search''' button'''.''' To clear the fields click on the '''Reset''' button.<br />
[[File:K91.png|none|thumb]]<br />
'''Analytics Adding'''<br />
<br />
In order to add a new Hard Hat Detection analytics, press '''Add Analytics''' in the upper right corner of the page.<br />
[[File:K93.png|none|thumb]]<br />
The Hard Hat Detection analytics setup process consists of '''3 Steps'''.<br />
<br />
'''Step 1 - General'''<br />
[[File:K94.png|none|thumb]]<br />
First of all, it is necessary to select a video stream. Click on the '''Video''' field and select the camera name from a list.<br />
[[File:K95.png|none|thumb]]<br />
You can also enter the part of the camera name in the '''Search''' field to find the necessary video stream faster.<br />
[[File:K96.png|none|thumb]]<br />
On the right side of the window, you can see the '''video stream preview''' and information about '''Camera''' name and '''Address''', '''Time Zone''', '''Resolution''', '''Codec''', and '''Type'''.<br />
[[File:K97.png|none|thumb]]<br />
When the video stream is selected press the '''Set Video Stream''' button.<br />
<br />
By pressing the '''Update Video Frame''' button you can see a frame in real-time in the field of frame addition. <br />
<br />
It is possible if a video stream was selected<br />
<br />
To add analytics it is necessary to set up the following parameters: <br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|The interval between alerts, sec<br />
<br />
|The frequency with which the system will check for the notification. The possible range is from 0.5 to 300 s. The recommended value is 0.5 s<br />
|-<br />
|Check interval, sec<br />
<br />
|The frequency with which the system will check for the presence of a hardhat. The possible range is from 0.04 to 30 s. The recommended value is 0.04 s<br />
<br />
|}<br />
To pass to the next step, click on the '''Next''' button in the upper right corner of the page.<br />
[[File:K99.png|none|thumb]]<br />
'''Step 2 - Hardware'''<br />
[[File:K100.png|none|thumb]]<br />
Now it is time to customize '''Hardware''' options. System users can change the following parameters:<br />
{| class="wikitable"<br />
|'''Parameter'''<br />
|'''Description'''<br />
|-<br />
|'''Hardware'''<br />
|Select one of the technologies - CPU or GPU acceleration<br />
|-<br />
|Decoding<br />
|Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia<br />
|-<br />
|Optimization<br />
|Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)<br />
|-<br />
|FPS<br />
|Enter the desired number of frames per second in the field for detection. The recommended value is 25<br />
|}<br />
When all necessary parameters are selected, go forward to the last step by clicking on the '''Next''' button in the upper right corner of the page.<br />
<br />
'''Step 3 – Notifications'''<br />
<br />
Finally, it is possible to customize '''Notifications'''.<br />
[[File:K102.png|none|thumb]]<br />
For this purpose check the box next to '''Send events to Event Manager.''' The system will send all notifications to the '''Event Manager''' and then to external resources.<br />
[[File:K103.png|none|thumb]]<br />
Then it is necessary to fill in the following fields:<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Events<br />
|Select the event for which notifications will be sent from the drop-down list.<br />
|-<br />
|Extra Options<br />
|If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.<br />
|}<br />
To add more parameters, click on the '''Add Options''' button.<br />
[[File:K105.png|none|thumb]]<br />
To remove parameters, click on the '''Delete''' icon.<br />
[[File:K106.png|none|thumb]]<br />
<br />
<br />
If you want to make changes to previous steps, click on the '''Back''' button in the upper right corner of the page.<br />
[[File:K107.png|none|thumb]]<br />
When the analytics setup is complete, click on the '''Save''' button in the upper right corner of the page to save changes and create the analytics.<br />
[[File:K108.png|none|thumb]]<br />
'''Analytics Editing'''<br />
<br />
To open the Hard Hat Detection analytics editing window, click the '''Edit''' button on the right side of the analytics record.<br />
[[File:K109.png|none|thumb]]<br />
<br />
<br />
It is possible to edit the analytics if it is not running.<br />
<br />
If the analytics is '''active''' at the moment, it is necessary to '''disable''' it by clicking on the '''Stop Analytics''' button in the upper right corner of the editor page.<br />
[[File:K110.png|none|thumb]]<br />
When you click on the '''Stop Analytics''' button, the Confirmation window opens. Click '''Yes''' to confirm the analytics disable or click '''No''' to cancel the action.<br />
[[File:K111.png|none|thumb]]<br />
<br />
<br />
Now when the analytics is disabled it is possible to make changes to it.<br />
<br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - '''General''', '''Hardware''', and '''Notifications'''. The '''General''' tab opens first by default.<br />
<br />
The current tab is always '''highlighted'''. You can switch among them by clicking on their names.<br />
<br />
<br />
'''General Tab'''<br />
<br />
At the '''General''' tab it is possible to edit the following parameters: <br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|The interval between alerts, sec<br />
|The frequency with which the system will check for the notification. The possible range is from 0.5 to 300 s. The recommended value is 0.5 s<br />
|-<br />
|Check interval, sec<br />
|The frequency with which the system will check for the presence of a hardhat. The possible range is from 0.04 to 30 s. The recommended value is 0.04 s<br />
|}<br />
<br />
<br />
'''Hardware Tab'''<br />
<br />
At the '''Hardware''' tab it is possible to edit the following parameters:<br />
{| class="wikitable"<br />
|'''PARAMETER'''<br />
|'''DESCRIPTION'''<br />
|-<br />
|Hardware<br />
|Select one of the technologies - CPU or GPU acceleration<br />
|-<br />
|'''Decoding'''<br />
|Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia<br />
|-<br />
|Optimization <br />
|Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)<br />
|-<br />
|FPS<br />
|Enter the desired number of frames per second in the field for detection. The recommended value is 25<br />
|}<br />
[[File:K120.png|none|thumb]]<br />
'''Notifications Tab'''<br />
<br />
At the '''Notifications''' tab it is possible to edit values in the following fields:<br />
{| class="wikitable"<br />
| FIELD NAME<br />
|DESCRIPTION<br />
|-<br />
|Events<br />
|Select the event for which notifications will be sent from the drop-down list.<br />
|-<br />
|Extra Options<br />
|If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.<br />
|}<br />
<br />
<br />
To add parameters, click on the '''Add Options''' button.<br />
[[File:K121.png|none|thumb]]<br />
To remove parameters, click on the '''Delete''' icon.<br />
[[File:K122.png|none|thumb]]<br />
When the analytics editing is complete, click on the '''Save''' button in the right upper corner of the editor page to save changes.<br />
[[File:K125.png|none|thumb]]<br />
'''Analytics Viewing'''<br />
<br />
To '''view''' a Hard Hat Detection analytics, press the '''View''' icon on the right side of the video stream field.<br />
<br />
It is possible to view only '''Active''' video streams.<br />
<br />
In the opened window, you can view the video from the camera in '''real-time'''.<br />
[[File:K126.png|none|thumb]]<br />
There are violation records in the table below, which includes '''Camera''', and '''Violation Time''' columns.<br />
{| class="wikitable"<br />
|'''COLUMN NAME '''<br />
|'''DESCRIPTION'''<br />
|-<br />
|Camera<br />
|Here you can look at the camera location and a frame of violations of the hardhats wearing regime<br />
|-<br />
|Violation Time <br />
|The time the camera detects a violation of hardhats wearing regime<br />
|}<br />
<br />
<br />
Press on the '''Frame''' icon to look closer at the detected violation of the hardhats wearing regime.<br />
[[File:K127.png|none|thumb]]<br />
To download an image of the violation of the hardhats wearing regime, press '''Save image'''.<br />
[[File:K128.png|none|thumb]]<br />
'''Analytics Start and Stop'''<br />
<br />
To start analytics, press the '''Start''' button on the right side of the analytics field. To stop analytics, press the '''Stop''' button.<br />
[[File:K129.png|none|thumb]]<br />
When you click on the '''Stop''' button, the confirmation window opens. Click '''Yes''' to confirm or click '''No''' to cancel the action.<br />
[[File:K130.png|none|thumb]]<br />
'''Analytics Deletion'''<br />
<br />
To '''delete''' analytics, press the '''Delete''' icon on the right side of the analytics field.<br />
[[File:K131.png|none|thumb]]<br />
In opened window press '''Yes''' to confirm the deletion or '''No''' to cancel the deletion.<br />
[[File:K132.png|none|thumb]]<br />
<br />
== '''Events''' ==<br />
To view the history of security violations, select '''Hard Hat Detection''' in the left menu and pass into the '''Events''' section.<br />
[[File:K133.png|none|thumb]]<br />
'''Events Search'''<br />
<br />
There is an event search field at the top of the page.<br />
{| class="wikitable"<br />
|Search field<br />
|Parameters<br />
|-<br />
| Time Frame<br />
|Press on the field and select the desired time period.<br />
|-<br />
| Camera<br />
|Press on the field and select the camera you want to receive notifications for from the drop-down list<br />
|}<br />
Press '''Search''' to display the search results. Press '''Reset''' to clear the input fields.<br />
<br />
To view the location and direction of the camera, press the '''Location''' icon.<br />
[[File:K134.png|none|thumb]]<br />
'''Events View'''<br />
<br />
To go to the list view format, press the corresponding icon in the upper-right corner.<br />
[[File:K135.png|none|thumb]]<br />
To return to the grid format, press the corresponding icon in the upper-right corner again.<br />
[[File:K140.png|none|thumb]]<br />
'''Frame View'''<br />
<br />
To enlarge a frame with a hardhat wearing regime violation, press the enlargement icon on the photo of interest.<br />
[[File:K141.png|none|thumb]]<br />
<br />
<br />
Press "'''+'''" to '''Zoom in''' or "'''-'''" to '''Zoom out''' the frame. Press "~" to return the frame to the default size.<br />
[[File:K143.png|none|thumb]]<br />
If desired, it is possible to save the image by pressing the '''Save Image''' button.</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Smoke_and_Fire_Detection_VCA&diff=1022VCloud.ai Smoke and Fire Detection VCA2023-11-13T19:33:02Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><br />
== '''Main functionality''' ==<br />
<br />
* Recognition and notification of the appearance of smoke or an open fire source.<br />
* Data storage on the occurrence of smoke or fire at the objects of observation.<br />
<br />
== '''Product Description''' ==<br />
The '''Smoke & Fire Detection''' module is designed to register and promptly respond to the occurrence of smoke and fire in the territories or inside objects under surveillance.<br />
{| class="wikitable"<br />
|'''Parameter'''<br />
|'''Recommended value'''<br />
|-<br />
|CPU<br />
|Intel Core i5-5575 or higher<br />
|-<br />
|RAM<br />
|2 GB RAM<br />
|-<br />
|GPU<br />
|NVIDIA 1030<br />
|-<br />
|Places for archive<br />
|up to 3GB per day (~4.5k detections )<br />
|-<br />
|Operating system<br />
|Ubuntu 20.04<br />
|}<br />
<br />
== '''Analytics''' ==<br />
To open the Smoke & Fire Detection analytics, select '''Smoke & Fire Detection''' in the left menu and pass to the '''Analytics''' section.<br />
[[File:K30.png|none|thumb]]<br />
In the '''Analytics''' section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, view, or delete analytics. <br />
<br />
There is a '''search field''' at the top of the page. Here you can filter analytics by the following parameters:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Camera<br />
|Analytics name or part of a name can be entered in this field<br />
|-<br />
|Status<br />
|Select the Analytics status from the drop-down list - All, Active, or Stopped<br />
|}<br />
To start the search click on the '''Search''' button'''.''' To clear the fields click on the '''Reset''' button.<br />
[[File:K31.png|none|thumb]]<br />
The list of analytics is shown in the table below.<br />
<br />
'''Analytics Adding'''<br />
<br />
In order to add a new Smoke & Fire Detection analytics, press '''Add Analytics''' in the upper-right corner of the page.<br />
[[File:K32.png|none|thumb]]<br />
The Smoke & Fire Detection analytics setup process consists of 3 Steps.<br />
<br />
<br />
'''Step 1 - General'''<br />
[[File:K33.png|none|thumb]]<br />
First of all, it is necessary to select a video stream. Click on the Video field and select the camera name from a list.<br />
[[File:K34.png|none|thumb]]<br />
You can also enter the part of the camera name in the Search field to find the necessary video stream faster.<br />
[[File:K35.png|none|thumb]]<br />
On the right side of the window, you can see the video stream preview and information about Camera name and Address, Time Zone, Resolution, Codec, and Type.<br />
[[File:K36.png|none|thumb]]<br />
When the video stream is selected press the Set Video Stream button.<br />
<br />
By pressing the Update Video Frame button you can see a frame in real-time in the field of frame addition. <br />
<br />
It is possible if a video stream was selected. <br />
<br />
To add analytics it is necessary to set up the following parameters:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Notification Detect Delay<br />
|The frequency with which the system will check for smoke and open sources of fire. Possible range from 1 to 60 sec<br />
|-<br />
|Notification Alert Delay<br />
|The frequency with which the system will send notifications. Possible range from 1 to 300 sec<br />
|-<br />
|Time Frame<br />
|Select the time period for which the system will scan the territory<br />
|}<br />
Then it is necessary to place a detection area.<br />
<br />
Move the white and red markers to line up the desired area.<br />
[[File:K37.png|none|thumb]]<br />
The analytics will be performed only within the boundaries of the selected area.<br />
<br />
In order to remove the area, click on the Delete Rule button.<br />
[[File:K39.png|none|thumb]]<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one.<br />
[[File:K40.png|none|thumb]]<br />
To pass to the next step, click on the Next button in the upper right corner of the page.<br />
[[File:K42.png|none|thumb]]<br />
'''Step 2 - Hardware'''<br />
[[File:K43.png|none|thumb]]Now it is time to customize Hardware options. System users can change the following parameters:<br />
{| class="wikitable"<br />
|'''Parameter'''<br />
|'''Description'''<br />
|-<br />
|Hardware<br />
|Select one of the technologies - CPU or GPU acceleration<br />
|-<br />
|Decoding<br />
|Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia<br />
|-<br />
|Optimization<br />
|Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)<br />
|-<br />
|FPS<br />
|Enter the desired number of frames per second in the field for detection. The recommended value is 25<br />
|}<br />
When all necessary parameters are selected, go forward to the last step by clicking on the Next button in the upper right corner of the page.<br />
<br />
'''Step 3 - Notifications'''<br />
<br />
Finally, it is possible to customize Notifications.<br />
[[File:K44.png|none|thumb]]<br />
For this purpose check the box next to Send events to Event Manager. The system will send all notifications to the Event Manager and then to external resources.<br />
<br />
Then it is necessary to fill in the following fields:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Events<br />
|Select the event for which notifications will be sent from the drop-down list.<br />
|-<br />
|Extra Options<br />
|If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.<br />
|}<br />
To add more parameters, click on the Add Options button.<br />
[[File:K45.png|none|thumb]]<br />
To remove parameters, click on the Delete icon.<br />
[[File:K46.png|none|thumb]]<br />
If you want to make changes to previous steps, click on the Back button in the upper right corner of the page.<br />
[[File:K47.png|none|thumb]]<br />
When the analytics setup is complete, click on the Save button in the upper right corner of the page to save changes and create the analytics.<br />
[[File:K48.png|none|thumb]]<br />
<br />
<br />
'''Analytics Editing'''<br />
<br />
To open the Smoke & Fire Detection analytics editing window, click the Edit button on the right side of the analytics record.<br />
<br />
[[File:K49.png|none|thumb]]<br />
It is possible to edit the analytics if it is not running.<br />
<br />
If the analytics is Active at the moment, it is necessary to disable it by clicking on the Stop Analytics button in the upper right corner of the editor page.<br />
[[File:K50.png|none|thumb]]<br />
When you click on the Stop Analytics button, the Confirmation window opens. Click Yes to confirm the analytics disable or click No to cancel the action.<br />
[[File:K52.png|none|thumb]]<br />
Now when the analytics is disabled it is possible to make changes to it.<br />
<br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics- General, Hardware, and Notifications. The General tab opens first by default.<br />
<br />
The current tab is always highlighted. You can switch among them by clicking on their names.<br />
[[File:K54.png|none|thumb]]<br />
<br />
<br />
'''General Tab'''<br />
<br />
At the General tab it is possible to edit the following parameters:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Notification Detect Delay<br />
|The frequency with which the system will check for smoke and open sources of fire. Possible range from 1 to 60 sec<br />
|-<br />
|Notification Alert Delay<br />
|The frequency with which the system will send notifications. Possible range from 1 to 300 sec<br />
|-<br />
|Time Frame<br />
|Select the time period for which the system will scan the territory<br />
|}<br />
Then it is possible to edit a detection area.<br />
<br />
Move the white and red markers to line up the desired area.<br />
[[File:K55.png|none|thumb]]<br />
<br />
<br />
The analytics will be performed only within the boundaries of the selected area.<br />
<br />
In order to remove the area, click on the Delete Rule button.<br />
[[File:K56.png|none|thumb]]<br />
<br />
<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one. <br />
[[File:K57.png|none|thumb]]'''Hardware Tab'''<br />
<br />
At the Hardware tab it is possible to edit the following parameters:<br />
{| class="wikitable"<br />
|'''Parameter'''<br />
|'''Description'''<br />
|-<br />
|Hardware<br />
|Select one of the technologies - CPU or GPU acceleration<br />
|-<br />
|Decoding<br />
|Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia<br />
|-<br />
|Optimization<br />
|Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)<br />
|-<br />
|FPS<br />
|Enter the desired number of frames per second in the field for detection. The recommended value is 25<br />
|}<br />
[[File:K59.png|none|thumb]]<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Events<br />
|Select the event for which notifications will be sent from the drop-down list.<br />
|-<br />
|Extra Options<br />
|If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.<br />
|}<br />
To add parameters, click on the Add Options button.<br />
[[File:K60.png|none|thumb]]<br />
To remove parameters, click on the Delete icon.<br />
[[File:K61.png|none|thumb]]<br />
When the analytics editing is complete, click on the Save button in the right upper corner of the editor page to save changes.<br />
[[File:K62.png|none|thumb]]<br />
<br />
<br />
'''Analytics Viewing'''<br />
<br />
To view Smoke & Fire Detection analytics, press the View icon on the right side of the video stream field.<br />
[[File:K64.png|none|thumb]]<br />
It is possible to view only Active video streams.<br />
<br />
In the opened window you can view the video from the camera in real-time.<br />
[[File:K66.png|none|thumb]]<br />
<br />
<br />
There are records of detected open fire or smoke in the table below, which includes Camera and Detection Time columns.<br />
{| class="wikitable"<br />
|Column name<br />
|Description<br />
|-<br />
|Camera<br />
|Here you can look at the camera location and a frame of detected open fire or smoke<br />
|-<br />
|Detection Time<br />
|The time the camera detects open fire or smoke<br />
|}<br />
Press on the Frame icon to look closer at the detected open fire or smoke.<br />
[[File:K67.png|none|thumb]]<br />
To download an image of detected smoke or fire, press Save image.<br />
[[File:K68.png|none|thumb]]<br />
<br />
<br />
'''Analytics Start and Stop'''<br />
<br />
To start analytics, press the Start button on the right side of the analytics field. To stop analytics, press the Stop button.<br />
[[File:K70.png|none|thumb]]<br />
When you click on the Stop button, the confirmation window opens. Click Yes to confirm or click No to cancel the action.<br />
[[File:K71.png|none|thumb]]<br />
<br />
<br />
'''Analytics Deletion'''<br />
<br />
To delete the Smoke & Fire Detection analytics, click on the Delete icon on the right side of the record. <br />
[[File:K73.png|none|thumb]]<br />
In the following window, click Yes to confirm the deletion or No to cancel the deletion.<br />
[[File:K74.png|none|thumb]]<br />
<br />
= '''Events''' =<br />
In order to view the cases of detection of smoke and fire sources, select the Smoke & Fire Detection in the left menu and pass into the Events section.<br />
[[File:K76.png|none|thumb]]<br />
<br />
<br />
'''Events Search'''<br />
<br />
There is an event search field at the top of the screen.<br />
[[File:K80.png|none|thumb]]<br />
{| class="wikitable"<br />
|'''Search field'''<br />
|'''Parameters'''<br />
|-<br />
|Time Frame<br />
|Click on the field and select the desired time period<br />
|-<br />
|Camera<br />
|Click on the field and select the camera by which you want to view the events from the drop-down list<br />
|}<br />
<br />
<br />
Click on the Search button to display the search results. Click on the Reset button to clear the input fields.<br />
<br />
To view the location and direction of the camera, click:<br />
[[File:K81.png|none|thumb]]<br />
<br />
<br />
'''Events View'''<br />
<br />
To go to the table view format, press the corresponding icon in the upper-right corner.<br />
[[File:K84.png|none|thumb]]<br />
To return to the grid format, press the corresponding icon in the upper-right corner again.<br />
[[File:K87.png|none|thumb]]<br />
<br />
<br />
'''Frame View'''<br />
<br />
In order to enlarge the frame, press the enlargement icon on the photo of interest. <br />
[[File:K88.png|none|thumb]]<br />
You can save the image by pressing the Save Image button if desired.<br />
[[File:K89.png|none|thumb]]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Age_and_Gender_Determination_Module&diff=1021VCloud.ai Age and Gender Determination Module2023-11-13T19:32:42Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><br />
== '''Main functionality''' ==<br />
· Determines the gender of person<br />
<br />
· Determines the age of person in the age range<br />
<br />
· Generation of the reports by gender and age with export to PDF, Excel<br />
<br />
== '''Product Description''' ==<br />
The Age & Gender module is designed for statistics viewing and generating on the number of persons of a certain gender and age in the field of view of selected video surveillance cameras.<br />
<br />
'''System Requirements'''<br />
<br />
It is necessary to have the minimum system requirements for one video stream for Age & Gender module installation on GPU as in the table below.<br />
{| class="wikitable"<br />
|'''Parameter'''<br />
|'''Recommended value'''<br />
|-<br />
|CPU<br />
|Intel Core i5-5575 or higher<br />
|-<br />
|RAM<br />
|3 GB RAM<br />
|-<br />
|GPU<br />
|NVIDIA 1030<br />
|-<br />
|Places for archive<br />
|up to 3 GB per day (~4.5 k detections)<br />
|-<br />
|Operating system<br />
|Ubuntu 20.04<br />
|}<br />
<br />
== '''Analytics''' ==<br />
In order to set up analytics select the Age & Gender Analytics from the sidebar menu.<br />
[[File:K1.png|none|thumb]]<br />
<br />
<br />
'''Analytics Adding'''<br />
<br />
The page displays a list of analytics with the status and the ability to edit, add, or delete analytics. In order to add new analytics, press Add Analytics in the upper-right corner of the screen.<br />
[[File:K2.png|none|thumb]]<br />
When pressing Add Analytics the form of analytics adding is opened.<br />
[[File:K3.png|none|thumb]]<br />
By pressing the Update Video Frame button you can see a frame in real-time in the field of frame addition. It is possible if a video stream was selected. <br />
<br />
For adding analytics it is necessary to fill the following fields:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Video stream<br />
|Press in the field and select the camera name from a drop-down list. Videostream will be used to create analytics.<br />
|-<br />
|Minimum face height<br />
|Establish the minimum size of the face which will be recognized by analytics. The minimum possible value is 80 pixels.<br />
|-<br />
|Maximum face height<br />
|Establish the maximum size of the face which will be recognized by analytics.<br />
|}<br />
Adding an Area of Interest<br />
<br />
-Add a camera to Video stream<br />
<br />
-A video from the added camera will appear below the Video stream field.<br />
<br />
Add an area of interest.<br />
<br />
a) Press Add Area of Interest. The red area appears.<br />
[[File:K5.png|none|thumb]]<br />
b) Using the tools at area edges, reduce and set the area to the desired location for definition.<br />
<br />
The displayed area will be used for face recognition and identification of their gender and age.<br />
<br />
In order to cancel the area of interest, press Cancel Area of Interest.<br />
<br />
To create the analytics, press Save.<br />
<br />
'''Analytics Editing'''<br />
<br />
To open the edit window, press the edit icon on the right side of the analytics record.<br />
[[File:K6.png|none|thumb]]<br />
When you press the edit icon, the analytics editing form is opened.<br />
[[File:K7.png|none|thumb]]<br />
It is possible to change the analytic if the analytic is not started.<br />
<br />
In order to run analytics, press Start. To stop analytics, press Stop.<br />
<br />
By pressing the Update Video Frame button you can see a frame in real-time in the field of frame addition. <br />
<br />
System user can change the following fields:<br />
{| class="wikitable"<br />
|'''Field name'''<br />
|'''Description'''<br />
|-<br />
|Minimum face height<br />
|Establish the minimum size of the face which will be recognized by analytics. The minimum possible value is 80 pixels.<br />
|-<br />
|Maximum face height<br />
|Establish the maximum size of the face which will be recognized by analytics.<br />
|}<br />
Changing the Area of Interest<br />
[[File:K5.png|none|thumb]]<br />
a) Press Add Area of Interest. The red area appears.<br />
<br />
Using the tools at area edges, reduce and set the area to the desired location for definition.<br />
<br />
The displayed area will be used for face recognition and identification of their gender and age.<br />
<br />
In order to cancel the area of interest, press Cancel Area of Interest.<br />
<br />
To create the analytics, press Save.<br />
<br />
'''Analytics Search'''<br />
<br />
The search field is located at the top of the Analytics page.<br />
[[File:K8.png|none|thumb]]<br />
To find the necessary analytics, enter the name or status of analytics.<br />
<br />
To start the search press the Search button. To clear the settings, press Reset.<br />
{| class="wikitable"<br />
|'''Search field'''<br />
|'''Parameters'''<br />
|-<br />
|Camera<br />
|It is possible to enter video stream name or part of the name in this field<br />
|-<br />
|Status<br />
|Select the Analytics status from the drop-down list<br />
|}<br />
'''Analytics Start and Stop'''<br />
<br />
To run the analytics, press the Start button on the right side with the analytics name field. To stop analytics, press the Stop button.<br />
[[File:K9.png|none|thumb]]'''Analytics Deletion'''<br />
<br />
To delete analytics, click the delete icon on the right side of the analytics field.<br />
[[File:K10.png|none|thumb]]<br />
In opened window click Yes to confirm the deletion or No to cancel the deletion.<br />
<br />
'''Analytics Viewing'''<br />
<br />
To view Analytics, press the icon on the right side of the screen.<br />
[[File:K11.png|none|thumb]]<br />
It is possible to view only active video streams.<br />
[[File:K12.png|none|thumb]]<br />
<br />
== '''Statistics''' ==<br />
In order to view heat map statistics select Age & Gender in the left menu and pass into section Statistics.[[File:K13.png|none|thumb]]<br />
<br />
<br />
Gender/Age Statistics is intended for reports generation and creation on the number of persons of a certain gender and age for a specified period.<br />
<br />
In order to filter statistics it is necessary to perform the following actions:<br />
<br />
-Select the time period for which statistics will be generated.<br />
[[File:K15.png|none|thumb]]<br />
<br />
<br />
To select a period, enter one of the following values: today, yesterday, last 7 days, last 30 days, this month, previous month, manually selected period (using calendar specify a range of days and times).<br />
<br />
-Select camera. It is possible to select All cameras, or specific camera.<br />
[[File:K16.png|none|thumb]]<br />
-Select the desired gender. It is possible to select All, or specific gender.<br />
[[File:K17.png|none|thumb]]<br />
-Press Filter<br />
[[File:K18.png|none|thumb]]<br />
To view statistics by hours, days, weeks, and months, select the appropriate tab.<br />
[[File:K20.png|none|thumb]]<br />
In Days, Weeks, and Months tabs, it is possible to remove unnecessary items from the chart by clicking on the item name under the chart or pie chart.<br />
[[File:K21.png|none|thumb]]<br />
<br />
== '''Camera Installation Requirements''' ==<br />
The solution is compatible with all cameras, that return the RTSP stream.<br />
<br />
· Quality: the highest<br />
<br />
· Bit rate: maximum possible<br />
<br />
· Profile: the highest possible<br />
<br />
· Stream smoothing: off<br />
<br />
· Exposure and brightness: such that for a given scene the face is clearly visible (if the camera is aimed at a light source, then an overexposed background is allowed)<br />
<br />
· Shutter speed: don't set too slow (more than 1/50), because in this case, the effect of blurring moving objects appears<br />
<br />
· Standard camera placement - ensure constant and steady illumination of recognized faces at the entrance or in the doors at face level or at a slight angle<br />
<br />
· Camera position: the face in the frame should be directed as straight as possible into the lens (optimal - at head level; means not from above, below, or from the side)<br />
<br />
· There should be no strong light sources from the side, above and below, creating harsh shadows and changes in light in different parts of the face<br />
<br />
· The camera should be well fixed and not shaking<br />
<br />
· Prevent refocusing and image sharpness changes<br />
<br />
· There should be no overexposures and glare in the frame</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_License_Plate_Recognition_VCA&diff=1020VCloud.ai License Plate Recognition VCA2023-11-13T19:32:19Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div>'''Vehicle License Plates Recognition Module'''<br />
<br />
== '''Main functionality''' ==<br />
* License plates recognition accuracy up to 99%.<br />
* ''ANPR'' system can read ''license plates'' of ''vehicles'' traveling at ''speed up to 250'' km/h.<br />
* Recognition of vehicle brands, models, and colors with accuracy 95%.<br />
* More than 60 countries supported.<br />
* Support for one- and two-line, regular, reverse, and special types of license plates.<br />
* Real-time notifications based on alarms from recognized license plates.<br />
* Notifications in Telegram, by SMS or email.<br />
* Restricted access to notifications for a pre-defined group of users.<br />
* Unified database of registered vehicles.<br />
* Ability to build reports on an hourly, daily, weekly, or monthly basis.<br />
* Support for import (CSV) and export of vehicle databases (EXCEL, PDF, CSV, JSON).<br />
<br />
== '''Camera Installation Guidelines''' ==<br />
The detection rate and accuracy of an ALPR system strongly depend on the quality of the images captured by the camera. Main condition is that the camera should capture images of license plates with close to perfect sharpness and contrast, day and night and in different weather conditions. This manual describes the key requirements for license plate recognition including hardware, installation, and configuration.<br />
<br />
It is recommended to minimize the angle between the camera and the travel direction of the car, as shown in Picture 1. Ideally, you should place the camera right above the vehicles, or not too high. It is, however, a good idea to place the camera higher than the car headlights, to avoid blinding the camera with strong light.<br />
<br />
'''Picture 1'''<br />
<br />
[[File:Pic_1.png|frameless]]<br />
<br />
The total angle between the camera and the travel direction of the car can be estimated from Tables 1 and 2. We recommend keeping the total angle below 30°.<br />
<br />
'''Table 1.'''<br />
[[File:Image 2.png|thumb|none]]<br />
<br />
'''Table 2.'''<br />
[[File:Table2.png|thumb|none]]<br />
<br />
<br />
'''Camera alignment'''<br />
<br />
The camera should be pointed at the road so that the relevant lanes are centered in the image. It should be zoomed in to cover the required number of lanes. The roll angle of the camera should be adjusted so that the license plate is parallel to the edges of the image, see Picture 2.<br />
'''Picture 2.'''<br />
[[File:Pic2.png|none|thumb]]<br />
The distance between the camera and the road part that it captures is called the capture distance, shown in Picture 1. The capture distance should be chosen carefully since it will influence, in several ways, the possibility to detect license plates. We will show different parameters that affect the choice of capture distance.<br />
<br />
The camera needs to be well focused so the captured license plates would be well readable. The image is, however, sharp not only at one specific distance but in a range of distances around the focal plane, as illustrated in Picture 3. The size of this range is called the depth of field (DOF). The DOF is normally larger for a longer capture distance. The DOF can be increased by reducing the size of the iris aperture. This is only necessary for short capture distances, below 10 m when the DOF is small. Reducing the iris aperture should be done carefully since it limits the low-light performance of the camera.<br />
<br />
'''Picture 3.'''<br />
[[File:Pic3.png|none|thumb]]<br />
<br />
<br />
'''Detectable range'''<br />
<br />
The detectable range is the range of distances along the road where the license plate is visible and readable in the image, see Picture 4. Ideally, the detectable range is the full field of view of the camera, but this is not always the case. The detectable range can be limited by the depth of field of the camera, and vehicles that are far away are sometimes too small for processing by the image sensor.<br />
<br />
'''Picture 4.'''<br />
[[File:Pic4.png|none|thumb]]<br />
Weather conditions such as snow, rain, and fog can severely limit the visibility at long capture distances and hence limit the detectable range.<br />
<br />
In the daytime and in good weather conditions, the detectable range increases with longer capture distance. For vehicles moving at high speed, it is necessary to use a long capture distance, to have enough time to read the license plate before the car exits the field of view.<br />
<br />
<br />
'''Recommended capture distance'''<br />
<br />
Table 3 shows the recommended minimum capture distance depending on the speed of the vehicles. The numbers are based on an estimated detection time of 0.2 s, which means that the ALPR analytics software can analyze five frames per second. Note that the number of analyzed frames per second can vary in different processors, and also depends on the resolution of the images. The table is just an example.<br />
<br />
'''Table 3.'''<br />
[[File:T3.png|none|thumb]]<br />
At night, the maximum possible capture distance is often limited by IR reach. The IR reach can be improved by using more powerful external IR sources.<br />
<br />
'''IR light'''<br />
<br />
Capturing license plates at night requires artificial lighting. Normally, infrared (IR) light is used since it is invisible to the eye and will not blind the drivers. Most license plates are IR reflective, and IR light will increase the visibility and contrast of the plate in darkness or cloudy weather. The IR light can come from LEDs built into the camera, or from IR sources that are external to the camera.<br />
<br />
The intensity of light decreases with the distance, squared, to the light source. For a reflective object, such as a license plate, this leads to the fact that each doubling of the distance between the light source and the object will require a fourfold increase in IR power, in order for the object to keep the same visibility.<br />
<br />
If the IR reach is not enough with the built-in LEDs, or if a camera does not have built-in IR LEDs, external IR can be used. The light cone of the IR source should match the field of view of the camera, at the relevant zoom level. License plates are made from retro-reflecting material, which means that they reflect light straight back where it came from, no matter at which angle the light hits the plate. When using an external IR source, the reflected IR light will come back towards the source, as illustrated in Picture 5.<br />
<br />
'''Picture 5.'''<br />
[[File:Pic5.png|none|thumb]]<br />
External IR sources need to be placed close to the camera so the reflected light hits the camera. Picture 5 shows the relative contrast of a license plate 10 m away, as a function of the distance between the camera and the external IR source.<br />
<br />
The IR source should be aligned parallel to the camera, ensuring that the light shines on the part of the road that is in the camera’s field of view.<br />
<br />
'''Camera settings'''<br />
<br />
Specialized license plate cameras are built with suitable default settings and require a minimum of tuning. For other cameras, the following settings might need to be applied.<br />
<br />
'''Max shutter speed'''<br />
<br />
Vehicles that are moving fast may cause motion blur, as shown in the Picture 6 if the shutter speed of the camera is too high. The maximum shutter speed depends on the alignment of the camera as well as the speed of the vehicles.<br />
<br />
'''Picture 6.'''<br />
[[File:Picture6.png|none|thumb]]<br />
Car that is approaching the camera will get larger as it approaches. But once there is an angle between the camera and the direction of movement, the car will move laterally in the image at a speed that depends on the angle. Lateral movement will result in motion blur at a normal shutter speed of about 1/30 sec., so the max shutter speed needs to be limited. Table 4 shows the recommended maximum shutter speed depending on the angle between the camera and the direction of travel of the vehicle, as well as the speed of the vehicles. The camera angle can be estimated from tables 1 and 2.<br />
<br />
Table 4.<br />
[[File:T4.png|none|thumb]]<br />
<br />
<br />
'''1 ms = 1/1000s'''<br />
<br />
Note that the camera will collect more light at a faster shutter speed, which increases the IR range. For example, by setting the camera at a 5 ° angle instead of a 20 ° angle, the shutter speed can be increased four times, which will double the IR range.<br />
<br />
'''Max gain'''<br />
<br />
Since the license plate is made of reflective material, it will glow brightly when exposed to intense infrared light. Objects around will be much darker as they reflect much less light. As a result, license plate gets overexposed and impossible to read.<br />
<br />
The simplest way to avoid overexposing the license plate is to limit the max gain of the camera, as shown in Picture 7.<br />
<br />
<br />
'''Picture 7.'''<br />
[[File:Picture7.png|none|thumb]] <br />
<br />
Maximum gain set up depends on the available IR intensity, distance to vehicles and camera sensitivity. Anywhere between 9dB and 21dB gives reasonable results when using built-in IR.<br />
<br />
<br />
'''WDR'''<br />
<br />
Wide dynamic range (WDR) includes various methods for increasing the dynamic range of an image. WDR is very useful for highlighting details that might otherwise be hidden in shadows, or for preventing strong light from “blinding” the camera.<br />
<br />
But WDR can cause motion artifacts in images of moving vehicles, depending on how WDR is implemented in a particular camera. We recommend to switch WDR off for license plate capture.<br />
<br />
== '''Product Description''' ==<br />
ANPR module is designed to collect and store data about vehicles as well as automatic recognition of license plates in the traffic conditions and parking.<br />
<br />
Basic data used by module:<br />
<br />
* Date and time of vehicle presence at certain section;<br />
* Frame with the vehicle as evidence (photo fixation);<br />
* Recognition of the model and color of the vehicle;<br />
* Direction of vehicle movement and route determination.<br />
<br />
All information about vehicle is stored in the database: date and time, frame with the car, license plate and vehicle model, color, the direction of movement, route.<br />
<br />
ANPR module can be used for:<br />
<br />
* Searching in the database of wanted vehicles;<br />
* Automatic detection of vehicles belonging to employees of the company;<br />
* Gate automation scenario;<br />
* As part of traffic rule violation detection system.<br />
<br />
System requirements<br />
<br />
Below are minimum system requirements for license plate recognition based on GPU for 1 video stream.<br />
<br />
{| class="wikitable"<br />
|Parameter<br />
|Recommended value<br />
|-<br />
|CPU<br />
|Intel Core i5-5575 or higher<br />
|-<br />
|RAM<br />
|2 GB RAM (+1GB make and model recognition)<br />
|-<br />
|GPU<br />
|NVIDIA 1050<br />
|-<br />
|Places for archive<br />
|up to 5 GB per day<br />
|-<br />
|Operating system<br />
|Ubuntu 20.04<br />
|}<br />
<br />
== '''Analytics''' ==<br />
To get started with ANPR analytics, click LPR in the left menu and then click analytics.<br />
[[File:Picture8.png|none|thumb]]<br />
<br />
<br />
'''Adding analytics'''<br />
<br />
The page displays a list of cameras with the status and the ability to edit, add, or delete analytics. In order to add a new license plate analytics, press '''Add Analytics''' in the upper-right corner of the screen.<br />
[[File:Pictur9.png|none|thumb]]<br />
When you click on the "Add analytics" button, the form for adding analytics opens.<br />
[[File:Picture10.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Video<br />
|Select the camera name from a drop-down list. Video stream will be used to create analytics.<br />
|-<br />
|Detection zone<br />
|License plates will be recognized in the red zone. You can reduce enlarge or move recognition zone<br />
|-<br />
|Frames to detect<br />
|The minimum number of frames for license plate recognition. Possible range from 1 to 100<br />
|-<br />
|Min plate width<br />
|The minimum license plate width for recognition is 60 pixels<br />
|-<br />
|Min plate height<br />
|The minimum license plate height for recognition is 15 pixels<br />
|}<br />
[[File:Picture11.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Hardware<br />
|For hardware acceleration, select CPU or GPU<br />
|-<br />
|Decoding<br />
|Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia<br />
|-<br />
|Optimization<br />
|For hardware acceleration, select one of the technologies.<br />
|-<br />
|Frames to detect<br />
|The minimum number of frames for license plate recognition. Possible range from 1 to 100<br />
|}<br />
[[File:Picture12.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Send events to event manager<br />
|Fill in the checkbox "Send events to event manager " to create your own event for notifications sending. If necessary, it is possible to add additional parameters for further use when event is being created. Fill in the parameter fields. To add parameters, press the "+" button<br />
|-<br />
|Vehicle without number<br />
|Send notification upon detection of vehicle without license plate<br />
|-<br />
|Blur plate number in preview mode<br />
|Send notification to preview image if plate number blurred<br />
|}<br />
Camera search<br />
<br />
Search field is located at the top of the '''Analytics''' page. To find the required camera enter the name or/and status of camera.<br />
[[File:Pictiure13.png|none|thumb]]<br />
<br />
<br />
Starting and stopping analytics<br />
<br />
To start analytics, press '''Start''' button on the right side with the analytics name field. To stop analytics, press '''Stop'''.<br />
[[File:Picture15.png|none|thumb]]<br />
<br />
<br />
Editing analytics<br />
<br />
To open the license plate analytics editing window, press the '''Editor''' button on the right side of the license plate analytics page.<br />
[[File:Picture16.png|none|thumb]]<br />
By clicking the '''Editor''' icon, the page for license plate analytics editing will load.<br />
<br />
If analytics is already running before editing it is required to stop the analytics.<br />
[[File:Picture19.png|none|thumb]]<br />
<br />
<br />
Viewing analytics<br />
<br />
To view analytics, press the view icon on the right side.<br />
[[File:Picture20.png|none|thumb]]<br />
It is possible to view only active video streams. In the opened window you can view the video from the camera in real-time mode.<br />
[[File:Pict21.png|none|thumb]]<br />
There are records of recognized vehicles in the lower part of the window, which include license plate, model, and date of event.<br />
[[File:Pict22.png|none|thumb]]<br />
Click on the vehicle number in the table to view information about that vehicle.<br />
[[File:Pict23.png|none|thumb]]<br />
To view a different record, click '''Previous post''' or '''Next post.'''<br />
<br />
To download an image of a recognized vehicle, press '''Save image.'''<br />
<br />
<br />
'''Deleting analytics'''<br />
<br />
To delete one of the cameras, click on the delete icon on the right side of the analytics field.<br />
[[File:Pict24.png|none|thumb]]<br />
<br />
== '''Search''' ==<br />
Search Parameters<br />
<br />
In order to perform a vehicle search, select '''LPR''' in the left menu and click on '''Search'''.<br />
[[File:Pict25.png|none|thumb]]<br />
There are recognized vehicle search parameters available at the top of the screen.<br />
[[File:Pict26.png|none|thumb]] <br />
<br />
<br />
{| class="wikitable"<br />
|Search field<br />
|Parameters<br />
|-<br />
|License plate number<br />
|Enter vehicle license plate number in the field to search for detected license plates<br />
|-<br />
|Time frame<br />
|Select time period you want to search for<br />
|-<br />
|Camera<br />
|Select the cameras you want to search for, or check the Select by radius box. In the window that opens, set the area. The search will be performed by cameras in the selected area.<br />
|-<br />
|Color<br />
|Select the desired vehicle color in the field<br />
|-<br />
|Make<br />
|Select the vehicle brand<br />
|-<br />
|Model<br />
|Select the vehicle model<br />
|-<br />
|Country<br />
|Select the country of recognized license plate number<br />
|-<br />
|Direction<br />
|Select the direction of movement of the car<br />
|}<br />
Click on '''Search''' to display search results. Click on '''Reset''' to clear the input fields.<br />
<br />
Search Results<br />
<br />
Search results are shown in the picture below. The list consists of the following fields: number, list, make, CCD (country, color, direction), date, camera.<br />
[[File:Pict27.png|none|thumb]]<br />
<br />
<br />
List<br />
<br />
In the list field, when you click on Add to the list, small window opens up where you can add recognized license plate to the one of existing lists.<br />
[[File:Pict28.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field Name<br />
|Description<br />
|-<br />
|Notes<br />
|Enter the text of notification that will be sent when the vehicle is detected<br />
|-<br />
|List<br />
|Select specific list where you want to add the number<br />
|}<br />
<br />
<br />
Camera<br />
<br />
When you click on '''Route icon''', a window will open up with the statistics of vehicle movement. When you click on the '''Map icon''', a window will open up showing the camera location. <br />
[[File:Pict29.png|none|thumb]]<br />
<br />
<br />
Photo of the car with recognized license plate <br />
<br />
On a right side of your screen, you can see picture of the car captured by camera along with the recognized license plate.<br />
[[File:Picture30.png|none|thumb]]<br />
<br />
<br />
When you click on Enlarge icon window will open up.<br />
[[File:Pict31.png|none|thumb]]<br />
In this enlarged window you will find option to export this captured image in PDF or JPG formats. <br />
<br />
Export Results<br />
<br />
Records can be exported in JSON or Excel format. To perform export, click on JSON or Excel.<br />
[[File:Pict32.png|none|thumb]]<br />
<br />
== '''Lists''' ==<br />
To create a database of license plate numbers to be recognized, select LPR in the menu on the left and click on '''Lists'''.<br />
[[File:Pict33.png|none|thumb]]By clicking on the list name, page with the license plates added to this list opens up.<br />
<br />
Lists Search<br />
<br />
There is a search field at the top of the screen. To find required list, enter the name or part of it in the '''Name''' field.<br />
[[File:Pict34.png|none|thumb]]<br />
Click on '''Search''' to display the search results. Click on '''Reset''' to clear the input fields. Search by number opens up list of all license plate numbers in the system and allows to perform search by license plate number.<br />
<br />
Adding List<br />
<br />
In order to add a new list, click on '''Add List''' in the upper-right corner of the screen.<br />
[[File:Pict35.png|none|thumb]]<br />
Fill in the fields in the opened window:<br />
[[File:Pict36.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Name<br />
|List name<br />
|-<br />
|Note<br />
|Description of the purpose for the record to be created<br />
|-<br />
|Camera<br />
|Select the camera from a drop-down list. The selected cameras will be used to search for the vehicle with the specified number<br />
|-<br />
|Send notifications if a recognized plate number is in the list<br />
|Send notifications on recognized license plates to external sources (Telegram, Email, etc.), check the box in the selected field.<br />
|-<br />
|Events<br />
|From the drop-down list, select the event for which notifications will be sent.<br />
|-<br />
|Additional parameters<br />
|If necessary, it is possible to add additional parameters for further use when event being created. Fill in the parameter fields. To add parameters, press the "+" button. To remove parameters, press " -".<br />
|}<br />
Editing list<br />
<br />
To edit list, click on edit icon in the right side.<br />
[[File:Pict37.png|none|thumb]]<br />
<br />
<br />
Deleting list<br />
<br />
To delete the list, click trash bin icon on the right side of the screen.<br />
[[File:Pict38.png|none|thumb]]<br />
Viewing list<br />
<br />
To view the list content, click on eye icon.<br />
[[File:Pict39.png|none|thumb]]<br />
Click '''Import CSV''' to upload a CSV file with a list of license plate numbers.<br />
[[File:Pic40.png|none|thumb]]<br />
Adding license late to the list manually<br />
<br />
In order to add a new record, click on '''Add License Plate''' in the upper-right corner of the screen.<br />
[[File:Pic41.png|none|thumb]]<br />
<br />
<br />
As a result, small window will be opened.<br />
[[File:Pict43.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field Name<br />
|Description<br />
|-<br />
|Number<br />
|Enter the license plate number of the vehicle you want to find in the field. Search will be performed by the cameras that were selected when creating the list.<br />
<br />
In addition to the full format number, you can enter the number using additional characters:<br />
<br />
% - 0 or more characters omitted<br />
<br />
$ - 1 character omitted<br />
<br />
@ - 1 letter omitted<br />
<br />
_ - 1 symbol omitted<br />
|-<br />
|Message<br />
|Enter the text of the notification that will be sent when the vehicle is detected.<br />
|}<br />
Viewing license plate number<br />
<br />
To view information about license plate number, click on its name or on the view icon.<br />
[[File:Pict44.png|none|thumb]]<br />
Once you click on it window opens up with the information about this particular record.<br />
[[File:Pic45.png|none|thumb]]<br />
Deleting license plate number from the list<br />
[[File:Pict46.png|none|thumb]]<br />
Clicking the '''Delete''' button opens a form with a suggestion to delete the license plate number from the list s. To confirm this operation, press '''Yes,''' and to cancel press '''No.'''<br />
<br />
== '''Events''' ==<br />
To view information about received events, select LPR in the menu on the left and click on '''Events'''.<br />
[[File:Pict49.png|none|thumb]]<br />
After the camera set up for LPR detection and events start<br />
<br />
After set up for LPR detections is done and camera stared to capture license plates, information about such events will be displayed in the Events section.<br />
[[File:Pict50.png|none|thumb]]<br />
Event search<br />
<br />
There is a search field at the top of the screen.<br />
[[File:Pict52.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Number<br />
|Enter the vehicle number in the field<br />
<br />
In addition to the full format number, you can enter the number using additional characters:<br />
<br />
% - 0 or more characters omitted<br />
<br />
$ - 1 character omitted<br />
<br />
@ - 1 letter omitted<br />
<br />
_ - 1 symbol omitted<br />
|-<br />
|Period<br />
|Click on the field and select the desired time period.<br />
|-<br />
|List<br />
|Click on the field and select the necessary list.<br />
|-<br />
|Accepted<br />
|Click on the field and select the user who received notifications.<br />
|}<br />
<br />
<br />
<br />
Click on '''Search''' to display the search results. Click on '''Reset''' to clear the input fields.<br />
<br />
<br />
Viewing vehicle license plate number<br />
<br />
Click on the list name in the Events page to view information about records related to this specific list.<br />
[[File:Pict56.png|none|thumb]]<br />
Click Edit to change the data.<br />
[[File:Pict53.png|none|thumb]]<br />
In the opened window you can change the following fields:<br />
[[File:Pict57.png|none|thumb]]<br />
{| class="wikitable"<br />
|Field name<br />
|Description<br />
|-<br />
|Number<br />
|Enter the vehicle number in the field<br />
|-<br />
|Message<br />
|Enter a message in the field. The message should contain information about the vehicle<br />
|-<br />
|List<br />
|Press on the field and select the list with the number<br />
|}<br />
<br />
<br />
Clicking the Delete button opens a form with a suggestion to delete the number from the list of vehicles. To confirm the deletion, press Yes, and to cancel press No.<br />
[[File:Pict59.png|none|thumb]]<br />
If you press Yes, the number will be removed from the list of vehicles.<br />
<br />
Vehicle Number Export<br />
<br />
To export the card of this vehicle number in PDF format, click Export PDF.<br />
<br />
Frame<br />
<br />
To view a frame from a record, click the frame icon on the right side of the record.<br />
[[File:Pict60.png|none|thumb]]<br />
When you press on the frame icon, a window is opened with the image of the found vehicle.<br />
<br />
Camera<br />
<br />
To view the camera location, press the camera location icon.<br />
[[File:Pict61.png|none|thumb]]<br />
Accept Notification<br />
<br />
To accept a notification for yourself, press Accept in the right part of the record.<br />
[[File:Pict63.png|none|thumb]]<br />
After clicking, a confirmation window will appear. Press Yes to accept the notification, press No to cancel accepting.<br />
<br />
== '''Recognition Statistics''' ==<br />
To view vehicle recognition statistics, select LPR and go to the Recognition Statistics section.<br />
[[File:Pict64.png|none|thumb]]<br />
Vehicle recognition statistics are used for reports viewing and creating for specific periods.<br />
<br />
Recognition Statistics Filter<br />
<br />
In order to filter out the statistics for vehicles detection it is necessary to do the following:<br />
<br />
Select the time period for which statistics will be generated.<br />
[[File:Pict65.png|none|thumb]]<br />
To select a period, enter one of the following values: today, yesterday, last 7 days, last 30 days, this month, previous month, manually selected period (using calendar specify a range of days and times).<br />
<br />
Select the camera from which the video stream is being played. It is possible to select All cameras or a specific camera.<br />
<br />
Press Filter.<br />
[[File:67.png|none|thumb]]<br />
Reports Export<br />
<br />
To upload the reports, it is necessary to use the option of report downloading.<br />
[[File:68.png|none|thumb]]<br />
Statistics Viewing<br />
<br />
To view camera statistics by hours, days, weeks, and months, select the appropriate tab.<br />
[[File:69.png|none|thumb]]<br />
Camera<br />
<br />
In the Camera tab, you can see quantitative indicators of vehicle recognition by a camera.<br />
[[File:70.png|none|thumb]]<br />
<br />
Hours<br />
<br />
In the tab By the hours, you can see quantitative recognition indicators relative to the days of the week with hourly detail.<br />
[[File:Pict72.png|none|thumb]]<br />
Days<br />
<br />
In the tab Days there is the possibility to detail the vehicle recognition schedule. To do this, it is possible to use side scrolls to reduce the display width of the main chart on the upper indicator chart. It is possible to move along the main chart by moving the truncated zone horizontally.<br />
[[File:Picture2.jpg|none|thumb]]<br />
<br />
<br />
[[File:Pictur790.png|none|thumb]]<br />
To normalize the display, press the button to disable zoom.<br />
<br />
Weeks<br />
<br />
In the tab Weeks, it is possible to see quantitative recognition indicators for weeks in the selected range.<br />
[[File:Ppict80.png|none|thumb]]<br />
<br />
== '''Lists Statistics''' ==<br />
Statistics for vehicles that are in the corresponding lists are intended for reports viewing and creating for certain periods.<br />
[[File:Pict810.png|none|thumb]]<br />
Lists Statistics Filter<br />
<br />
In order to filter statistics it is necessary to perform the following actions:<br />
<br />
Select the time period for which statistics will be generated.<br />
[[File:Pict84-0.png|none|thumb]]<br />
To select a period, enter one of the following values: today, yesterday, last 7 days, last 30 days, this month, previous month, manually selected period (using calendar specify a range of days and times).<br />
<br />
Select the camera from which the video stream is being played. It is possible to select All cameras or a specific camera.<br />
<br />
Press Filter<br />
[[File:Pict85-0.png|none|thumb]]<br />
Report Export<br />
<br />
To upload the reports, it is necessary to use the option of report downloading.<br />
[[File:Pict86-0.png|none|thumb]]<br />
<br />
<br />
Statistics Viewing<br />
<br />
To view camera statistics by hours, days, weeks, and months, select the appropriate tab.<br />
<br />
[[File:Pict88-00.png|none|thumb]]<br />
<br />
== '''Camera Installation Requirements''' ==<br />
· Camera installation height requirements: recommended - 3 m or 5 m (Minimum - 1.5 m; Maximum - 10 m)<br />
<br />
· License plate image of moving vehicle should have no high-speed "blurring" effect visible to the eye<br />
<br />
· Symbols of license plate number must be applied in font and size in full accordance with the standard adopted in the country that issued this number<br />
<br />
· License plate numbers must meet the requirements for cleanliness and legibility: all symbols must be clearly visible and not obstructed by anything<br />
<br />
· License plate images should be of sufficient contrast; the difference in contrast between characters of the number and background must be visible by eye<br />
<br />
· The size of a single-line number on the image must be at least 100 * 20 (width * height) pixels on FullHD<br />
<br />
Sensor Resolution Requirements for Cameras<br />
<br />
1 lane (~ 4 m) - 1 MP (HD, 720p)<br />
<br />
2 lanes (~ 8 m) - 2 MP (Full HD, 1080p)<br />
<br />
3 lanes (~ 12 m) - 5MP</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Pose_Estimation_VCA&diff=1019VCloud.ai Pose Estimation VCA2023-11-13T19:31:54Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div>Pose Estimation - Module of Pose Estimation<br />
<br />
== Main functionality <br> == <br />
<br />
• Recognition of the lying down person <br><br />
• Recognition of stand up behavior<br><br />
• Recognition of sit down behavior<br><br />
• Recognition of a standing person<br><br />
• Recognition of a sitting person<br><br />
<br />
== Product Description <br> == <br />
The <strong>Pose Estimation</strong> module helps to identify a person in different states: sitting down, standing, walking, falling, getting up, as well as sending a notification in connection with the rule of human behavior.<br><br />
<br />
<strong>System Requirements</strong><br><br />
It is necessary to have the minimum system requirements for one video stream for the Pose Estimation recognition module installation on GPU as in the table below. <br><br />
<br />
<table border="1"><br />
<tr><br />
<td>CPU</td><br />
<td>Intel Core i5-8250U @ 1.60GHz or with higher performance</td><br />
</tr><br />
<tr><br />
<td>Memory, RAM</td><br />
<td>8 GB RAM<td><br />
</tr><br />
<tr><br />
<td>GPU</td><br />
<td>Any from the list below or higher with better performance:<br><br />
<br />
GTX 1660 6GB or<br><br />
RTX 2060 SUPER 8GB or<br><br />
RTX 2070 SUPER 8GB or<br><br />
RTX 2080TI 11GB or<br><br />
RTX 3070 8GB or<br><br />
RTX 3080 10GB or<br><br />
RTX 3090 24GB<br> </td><br />
</tr><br />
<tr><br />
<td>Bandwidth</td><br />
<td>5 Mb/s per 1 video analytics or higher*</td><br />
</tr><br />
<tr><br />
<td>Response time(local network)</td><br />
<td>200 ms or faster</td><br />
</tr><br />
<tr><br />
<td>Operating system</td><br />
<td>Ubuntu 20.04</td><br />
</tr><br />
</table><br />
<br />
== Analytics <br> ==<br />
<br />
In order to open the Pose Estimation analytics, select <strong>Pose Estimation</strong> in the left menu and pass to the <strong>Analytics</strong> section.<br><br />
<br />
[[File:P1.png|1000px|none]]<br />
<br />
In the <strong>Analytics</strong> section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, view, or delete analytics. <br><br />
There is a <strong>search</strong> field at the top of the page. Here you can filter analytics by the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Analytics name or part of a name can be entered in this field</td><br />
</tr><br />
<tr><br />
<td>Status</td><br />
<td>Select the Analytics status from the drop-down list - All, Active, or Stopped<t/d><br />
</tr><br />
<br />
</table><br />
<br />
To start the search click on the <strong>Search</strong> button. To clear the fields click on the <strong>Reset</strong> button. <br><br />
<br />
[[File:P2.png|1000px|none]]<br />
<strong>Analytics Adding</strong><br />
In order to add new Pose Estimation analytics, press <strong>Add Analytics</strong> in the upper right corner of the page.<br><br />
<br />
[[File:P3.png|1000px|none]]<br />
<br />
The Pose Estimation analytics setup process consists of <strong>3 Steps.</strong><br><br />
<br />
<strong>Step 1 - General</strong><br><br />
<br />
[[File:P4.png|1000px|none]]<br />
<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
<br />
[[File:P5.png|1000px|none]]<br />
<br />
You can also enter the part of the camera name in the <strong>Search</strong> field to find the necessary video stream faster.<br><br />
<br />
[[File:P6.png|1000px|none]]<br />
<br />
On the right side of the window, you can see the video stream preview and information about <strong>Camera</strong> name and <strong>Address, Time Zone, Resolution, Codec,</strong> and <strong>Type.</strong><br><br />
<br />
[[File:P7.png|1000px|none]]<br />
<br />
When the video stream is selected press the <strong>Set Video Stream</strong> button.<br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition.<br> <br />
It is possible if a video stream was selected. <br><br />
To add analytics it is necessary to set up the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Enter the name of the detection area</td><br />
</tr><br />
<tr><br />
<td>Type</td><br />
<td>Select a pose type for detection</td><br />
</tr><br />
<tr><br />
<td>Detection Time</td><br />
<td>Set the time in seconds during which the object can be in a certain pose without detection.</td><br />
</tr><br />
</table> <br />
<br />
To add more types of pose estimation click on the <strong>Add Notification</strong> button.<br><br />
[[File:P8.png|1000px|none]]<br />
<br />
Then it is necessary to place a <strong>detection area.</strong><br><br />
Move the white and red markers to line up the desired area.<br><br />
<br />
[[File:P9.png|1000px|none]]<br />
<br />
Detection analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:P10.png|1000px|none]]<br />
<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one.<br><br />
<br />
Pic<br />
<br />
To pass to the next step, click on the <strong>Next</strong> button in the upper right corner of the page.<br><br />
<br />
Pic<br />
<br />
<strong>Step 2 - Hardware</strong><br><br />
<br />
[[File:P12.png|1000px|none]]<br />
Now it is time to customize <strong>Hardware</strong> options. System users can change the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
When all necessary parameters are selected, go forward to the last step by clicking on the <strong>Next</strong> button in the upper right corner of the page.<br><br />
<strong>Step 3 - Notifications</strong><br><br />
Finally, it is possible to customize <strong>Notifications.</strong><br><br />
<br />
[[File:P13.png|1000px|none]]<br />
For this purpose check the box next to <strong>Send events to Event Manager.</strong> The system will send all notifications to the <strong>Event Manager</strong> and then to external resources.<br><br />
<br />
[[File:P14.png|1000px|none]]<br />
Then it is necessary to fill in the following fields:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
<br />
To add more parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:P15.png|1000px|none]]<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:P16.png|1000px|none]]<br />
If you want to make changes to previous steps, click on the <strong>Back</strong> button in the upper right corner of the page.<br><br />
<br />
[[File:P17.png|1000px|none]]<br />
When the analytics setup is complete, click on the <strong>Save</strong> button in the upper right corner of the page to save changes and create the analytics.<br><br />
<br />
[[File:P18.png|1000px|none]]<br />
<strong>Analytics Editing</strong><br><br />
To open the Pose Estimation analytics editing window, click the Edit button on the right side of the analytics record.<br><br />
<br />
[[File:P19.png|1000px|none]]<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is <strong>Active</strong> at the moment, it is necessary to <strong>disable</strong> it by clicking on the <strong>Stop Analytics</strong> button in the upper right corner of the editor page.<br><br />
<br />
[[File:P20.png|1000px|none]]<br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens. Click <strong>Yes</strong> to confirm the analytics disable or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:P21.png|1000px|none]]<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General, Hardware,</strong> and <strong>Notifications.</strong> The <strong>General</strong> tab opens first by default.<br />
The current tab is always highlighted. You can switch among them by clicking on their names.<br><br />
<br />
[[File:P22.png|1000px|none]]<br />
<strong>General Tab</strong><br><br />
At the <strong>General</strong> tab it is possible to edit the following parameters:<br> <br />
To add analytics it is necessary to set up the following parameters: <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Change the name of the detection area</td><br />
</tr><br />
<tr><br />
<td>Type</td><br />
<td>Select a pose type for detection</td><br />
</tr><br />
<tr><br />
<td>Detection Time</td><br />
<td>Set the time in seconds during which the object can be in a certain pose without detection</td><br />
</tr><br />
</table><br />
<br />
To add more types of pose estimation click on the <strong>Add Notification</strong> button.<br><br />
<br />
[[File:P23.png|1000px|none]]<br />
Then it is possible to edit a <strong>detection area.</strong><br><br />
Move the white and red markers to line up the desired area.<br><br />
<br />
[[File:P24.png|1000px|none]]<br />
<br />
Detection analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:P25.png|1000px|none]]<br />
<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one.<br><br />
<br />
[[File:P26.png|1000px|none]]<br />
<br />
<strong>Hardware Tab</strong><br><br />
At the <strong>Hardware</strong> tab it is possible to edit the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
[[File:P27.png|1000px|none]]<br />
<br />
<strong>Notifications Tab<br></strong><br />
At the <strong>Notifications</strong> tab it is possible to edit values in the following fields:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
To add parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:P28.png|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:P29.png|1000px|none]]<br />
<br />
When the analytics editing is complete, click on the <strong>Save</strong> button in the right upper Picorner of the editor page to save changes.<br><br />
<br />
[[File:P30.png|1000px|none]]<br />
<br />
<strong>Analytics Viewing</strong><br><br />
To <strong>view</strong> Pose Estimation analytics, press the <strong>View</strong> icon on the right side of the videostream field.<br><br />
<br />
[[File:P31.png|1000px|none]]<br />
<br />
It is possible to view only <strong>active</strong> video streams.<br><br />
In the opened window you can view the video from the camera in <strong>real-time.</strong><br><br />
<br />
[[File:P32.png|1000px|none]]<br />
<br />
There are records of <strong>recognized people's poses</strong> in the table below, which includes <strong>Camera</strong> and <strong>Date and Time</strong> columns.<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Column name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Here you can look at the camera location and a frame of a recognized person's poses</td><br />
</tr><br />
<tr><br />
<td>Date and Time</td><br />
<td>The exact date and time the camera recognizes people's poses</td><br />
</tr><br />
</table><br />
<br />
Press on the <strong>Frame</strong> icon to look closer at the recognized person's pose.<br><br />
<br />
[[File:P33.png|1000px|none]]<br />
<br />
To download an image of a recognized person's pose, press the <strong>Save image</strong> button.<br />
<br />
[[File:P34.png|1000px|none]]<br />
<br />
<strong>Analytics Start and Stop</strong><br><br />
To start analytics, press the <strong>Start</strong> button on the right side with the analytics name field. To stop analytics, press the <strong>Stop</strong> button.<br><br />
<br />
[[File:P35.png|1000px|none]]<br />
<br />
When you click on the <strong>Stop</strong> button, the confirmation window opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:P36.png|1000px|none]]<br />
<br />
<strong>Analytics Deletion</strong><br><br />
To delete analytics, press the <strong>Delete</strong> icon on the right side of the analytics field.<br><br />
<br />
[[File:P37.png|1000px|none]]<br />
In opened window press <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
<br />
[[File:P38.png|1000px|none]]<br />
<br />
== Events <br> ==<br />
<br />
To view the Pose Estimation events, select <strong>Pose Estimation</strong> in the left menu and pass into the <strong>Events</strong> section.<br><br />
The <strong>Events</strong> section is intended for viewing the history of notifications about a recognized person's pose - <strong>Standing, Walking, Sitting, Lying down, Stand up, Sit down.</strong><br />
<br />
[[File:P39.png|1000px|none]]<br />
<strong>Events Search</strong><br><br />
There is an event search field at the top of the screen.<br><br />
<br />
[[File:P40.png|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Press on the field and select the desired time frame</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press on the field and select the camera you want to receive notifications for from the drop-down list</td><br />
</tr><br />
<tr><br />
<td>Rule</td><br />
<td>Press on the field and select the desired pose type - Standing, Walking, Sitting, Lying down, Stand up, Sit down</td><br />
</tr><br />
</table><br />
<br />
Press <strong>Search</strong> to display the search results. Press <strong>Reset</strong> to clear the input fields.<br><br />
To enable the auto update function, in the upper right corner of the page click on the <strong>Autoupdate</strong> toggle. Click once again to disable.<br><br />
When it is <strong>enabled</strong>, the events on the page are updated automatically.<br><br />
<br />
<strong>Events View</strong><br><br />
To go to the table view format, press the corresponding icon in the upper-right corner.<br><br />
<br />
[[File:P42.png|1000px|none]]<br />
<br />
To return to the grid format, press the icon corresponding icon in the upper-right corner again.<br><br />
<br />
[[File:Pose1.png|1000px|none]]<br />
<br />
To view the location and direction of the camera, press the <strong>Location</strong> icon.<br><br />
<br />
[[File:P41.png|1000px|none]]<br />
<br />
<strong>Frame View</strong><br><br />
To enlarge a frame with a person's state, press the enlargement icon on the photo of interest.<br><br />
<br />
[[File:Pose2.jpg|1000px|none]]<br />
<br />
Press "+" to <strong>Zoom</strong> in or "-" to <strong>Zoom out</strong> the frame. Press "~" to return the frame to the default size.<br><br />
<br />
[[File:P34.png|1000px|none]]<br />
To save the image, press <strong>Save Image.</strong><br></div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Motion_Detection_VCA&diff=1018VCloud.ai Motion Detection VCA2023-11-13T19:31:30Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div>Motion Detection - Motion Detector Module <br><br />
<br />
== Main functionality: <br> ==<br />
<br />
• Motion detection in the specified area <br><br />
• Detection of location rules violations <br><br />
• Photo recording and notifications about rules violations sending <br><br />
• Storing the data collected on mode violators in the database <br><br />
• Ability to receive notifications about events in Telegram, SMS, or email <br><br />
<br />
== Product Description <br> ==<br />
The Motion Detection module is designed to notify about zone being rules violations. Notifications sending is performed depending on the time interval and set rule.<br />
Notifications are sent when movement is detected in the zone above the specified time period, if there is no movement in the zone above the specified period, or if the zone is moving within a certain time frame.<br><br />
<strong>System Requirements</strong><br><br />
It is necessary to have the minimum system requirements for one video stream for the Motion Detection module installation on GPU as in the table below.<br><br />
<table border = "1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Recommended value</th><br />
</tr><br />
<tr><br />
<td>CPU</td><br />
<td>Intel Core i5-5575 or higher</td><br />
</tr><br />
<tr><br />
<td>RAM</td><br />
<td>3 GB RAM</td><br />
</tr><br />
<tr><br />
<td>Places for archive</td><br />
<td>up to 3 GB per day (~4.5 k detections)</td><br />
</tr><br />
<tr><br />
<td>Operating system</td><br />
<td>Ubuntu 20.04</td><br />
</tr><br />
</table><br />
<br />
== Analytics <br> ==<br />
<br />
In order to open Motion Detection analytics select <strong>Motion Detection</strong> in the left menu and pass to the <strong>Analytics</strong> section.<br><br />
<br />
[[File:MD1.png|1000px|none]]<br />
<br />
In the <strong>Analytics</strong> section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, view, or delete analytics. <br><br />
There is a <strong>search field</strong> at the top of the page. Here you can filter analytics by the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Analytics name or part of a name can be entered in this field</td><br />
</tr><br />
<tr><br />
<td>Status</td><br />
<td>Select the Analytics status from the drop-down list - All, Active, or Stopped</td><br />
</tr><br />
</table><br />
<br />
To start the search click on the <strong>Search</strong>< button. To clear the fields click on the <strong>Reset</strong> button.<br><br />
<br />
[[File:MD2.png|1000px|none]]<br />
<br />
The list of analytics is shown in the table below.<br><br />
<strong>Analytics Adding</strong><br><br />
To add a new <strong>Motion Detection</strong> analytics, click <strong>Add Analytics</strong> in the upper right corner of the page.<br><br />
<br />
[[File:MD3.png|1000px|none]]<br />
<br />
The Motion Detection analytics setup process consists of <strong>3 Steps.</strong><br><br />
<strong>Step 1 - General</strong><br><br />
<br />
[[File:MD4.png|1000px|none]]<br />
<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
[[File:MD5.png|1000px|none]]<br />
<br />
<strong>Rule Setting</strong><br><br />
In order to set up the motion detection rule, it is necessary to select the <strong>Rule Type</strong> and fill in the corresponding fields.<br><br />
<br />
[[File:MD6.png|1000px|none]]<br />
<br />
Different rule types setting is described further.<br><br />
<strong>Line Сrossing</strong><br><br />
This type of rule will be triggered if the object crosses the set line.<br> <br />
Add a line to the area of interest. This function allows detecting a movement in a specific direction.<br><br />
Each line appears in the middle of the area by default.<br><br />
Move the line markers to the desired place (as in the example) to set the line perpendicular to the intended objects' movement.<br><br />
<br />
[[File:MD7.png|1000px|none]]<br />
<br />
Then set the movement detection direction. For this purpose click on the <strong>Change Direction</strong> button. The arrow will change its direction after each click on the button.<br><br />
<br />
[[File:MD8.png|1000px|none]]<br />
<br />
You can also set the <strong>Time Frame</strong>, for which the analytics will be providing the motion detection with the <strong>Line Crossing rule type.</strong><br><br />
<br />
[[File:MD9.png|1000px|none]]<br />
<br />
<strong>Loitering</strong><br><br />
This type of rule will work if the object moves in the zone for a certain time.<br><br />
To set the detection area move the white and colored markers to line up the desired area.<br><br />
<br />
[[File:MD10.png|1000px|none]]<br />
<br />
There are two parameters for this type of rule.<br><br />
The <strong>Time Frame</strong> parameter is required to set the time interval when notifications for this type of rule will be up-to-date.<br><br />
To set this parameter, press on the field, set the period, and press <strong>Accept.</strong><br><br />
<br />
[[File:MD11.png|1000px|none]]<br />
<br />
The <strong>Trigger</strong> parameter is necessary for setting the time (set in seconds) that the object can be located in a zone without detection. To set this parameter, click on the field with this parameter and set the required number of seconds.<br><br />
<br />
[[File:MD12.png|1000px|none]]<br />
<br />
<strong>Left Object</strong><br><br />
This type of rule is used to determine the left object. The object is considered left if it was not in the zone before analytics enabling. With this rule, objects that fall into the zone and remain motionless for a certain time are recorded.<br><br />
To set the detection area move the white and colored markers to line up the desired area.<br><br />
[[File:MD13.png|1000px|none]]<br />
There are two parameters for this type of rule.<br><br />
The <strong>Time Frame</strong> parameter is required to set the time interval when notifications for this type of rule will be up-to-date.<br><br />
To set this parameter, press on the field with time periods, set the period, and press <strong>Accept.</strong><br><br />
<br />
[[File:MD14.png|1000px|none]]<br />
<br />
The <strong>Trigger</strong> parameter is necessary for setting the time (set in seconds) that the object can be located in a zone without detection. To set this parameter, click on the field with this parameter and set the required number of seconds.<br><br />
<br />
[[File:MD15.png|1000px|none]]<br />
<br />
<strong>Intrusion Object</strong><br><br />
This type of rule is triggered whenever an object enters the detection zone. If the object was in the zone before the analysis started, there will be no notifications for such cases.<br><br />
To set the detection area move the white and colored markers to line up the desired area.<br><br />
<br />
[[File:MD16.png|1000px|none]]<br />
<br />
The <strong>Time Frame</strong> parameter is required to set the time interval when notifications for this type of rule will be up-to-date.<br><br />
To set this parameter, press on the field, set the period, and press <strong>Accept.</strong><br><br />
<br />
[[File:MD17.png|1000px|none]]<br />
<br />
<strong>Disappeared Object</strong><br />
<br />
This type of rule is used for object fixation. This rule is triggered if the item has disappeared from the set zone.<br><br />
To set the detection area move the white and colored markers to line up the desired area.<br><br />
<br />
[[File:MD18.png|1000px|none]]<br />
There are two parameters for this type of rule.<br><br />
The <strong>Time Frame</strong> parameter is required to set the time interval when notifications for this type of rule will be up-to-date. To set this parameter, press on the field, set the period, and press <strong>Accept.</strong><br />
<br />
[[File:MD19.png|1000px|none]]<br />
<strong>The Trigger</strong> parameter is necessary for setting the time (set in seconds) that the object can be missed in a zone without detection. To set this parameter, click on the field with this parameter and set the required number of seconds.<br><br />
<br />
[[File:MD20.png|1000px|none]]<br />
<br />
You can create multiple rules by pressing the <strong>Add Rule</strong> button.<br><br />
<br />
[[File:MD21.png|1000px|none]]<br />
In order to remove the <strong>Rule</strong>, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:MD22.png|1000px|none]]<br />
To pass to the next step, click on the <strong>Next</strong> button in the upper right corner of the page.<br><br />
<strong>Step 2 - Hardware</strong><br><br />
<br />
[[File:MD23.png|1000px|none]]<br />
<br />
Now it is time to customize <strong>Hardware</strong> options. System users can change the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
When all necessary parameters are selected, go forward to the last step by clicking on the <strong>Next</strong> button in the upper right corner of the page.<br><br />
<br />
<strong>Step 3 - Notifications</strong><br><br />
Finally, it is possible to customize <strong>Notifications.</strong><br><br />
<br />
[[File:MD24.png|1000px|none]]<br />
<br />
For this purpose check the box next to <strong>Send events to Event Manager</strong>. The system will send all notifications to the <strong>Event Manager</strong> and then to external resources.<br><br />
<br />
[[File:MD25.png|1000px|none]]<br />
<br />
Then it is necessary to fill in the following fields:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr>Extra Options</tr><br />
<tr>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.</tr><br />
</table><br />
<br />
To add more parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:MD26.png|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:MD27.png|1000px|none]]<br />
If you want to make changes to previous steps, click on the <strong>Back</strong> button in the upper right corner of the page.<br><br />
<br />
[[File:MD28.png|1000px|none]]<br />
When the analytics setup is complete, click on the <strong>Save</strong> button in the upper right corner of the page to save changes and create the analytics.<br><br />
<br />
[[File:MD29.png|1000px|none]]<br />
<strong>Analytics Editing</strong><br><br />
To open the Motion Detection analytics editing window, click the <strong>Edit</strong> button on the right side of the analytics record.<br />
<br />
[[File:MD30.png|1000px|none]]<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is <strong>Active</strong> at the moment, it is necessary to <strong>disable</strong> it by clicking on the <strong>Stop Analytics</strong> button in the upper right corner of the editor page.<br><br />
<br />
[[File:MD31.png|1000px|none]]<br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens. Click <strong>Yes</strong> to confirm the analytics disable or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:MD32.png|1000px|none]]<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General, Hardware,</strong> and <strong>Notifications.</strong> The <strong>General</strong> tab opens first by default.<br><br />
The current tab is always <strong>highlighted</strong>. You can switch among them by clicking on their names.<br><br />
[[File:MD33.png|1000px|none]]<br />
<br />
At the <strong>General</strong> tab it is possible to edit the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Rule</td><br />
<td>Click on the field and select another rule type from the drop-down list</td><br />
</tr><br />
<tr><br />
<td>Trigger</td><br />
<td>To set this parameter, click on the field with this parameter and set the required number of seconds <strong>(Available for Loitering, Left Object, and Disappeared Object rule type)<strong></td><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>To set this parameter, press on the field, set the period of time, and press Accept</td><br />
</tr><br />
<tr><br />
<td>Change Direction</td><br />
<td>Click on the button to change the movement direction. The arrow will change its direction after each click on the button (Available for Line Crossing rule type)</td><br />
</tr><br />
</table><br />
<br />
Then it is possible to edit:<br><br />
• a <strong>Detection Area</strong> - for Loitering, Left Object, Intrusion Object, and Disappeared Object rule types;<br><br />
• a <strong>Line</strong> for Line Crossing rule type.<br><br />
Move the white and colored markers to line up the desired <strong>Detection Area.</strong><br><br />
<br />
[[File:MD34.png|1000px|none]]<br />
<br />
Move the line markers to the desired place to set the <strong>Line</strong> perpendicular to the intended objects' movement.<br><br />
<br />
[[File:MD35.png|1000px|none]]<br />
You can create multiple rules by pressing the <strong>Add Rule</strong> button.<br><br />
<br />
[[File:MD36.png|1000px|none]]<br />
In order to remove the <strong>Rule</strong>, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:MD37.png|1000px|none]]<br />
<br />
<strong>Hardware Tab</strong><br />
At the <strong>Hardware</strong> tab it is possible to edit the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
[[File:MD38.png|1000px|none]]<br />
<br />
<strong>Notifications Tab</strong><br><br />
At the <strong>Notifications</strong> tab it is possible to edit values in the following fields:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
<br />
To add parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:MD39.png|1000px|none]]<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:MD40.png|1000px|none]]<br />
When the analytics editing is complete, click on the <strong>Save</strong> button in the right upper corner of the editor page to save changes.<br><br />
<br />
[[File:MD41.png|1000px|none]]<br />
<strong>Analytics Viewing</strong><br> <br />
To <strong>view</strong> Motion Detection analytics, press the <strong>View</strong> icon on the right side of the Videostream field.<br />
<br />
[[File:MD42.png|1000px|none]]<br />
It is possible to view only <strong>active</strong> video streams.<br><br />
In the opened window you can view the video from the camera in <strong>real-time.</strong><br><br />
<br />
[[File:MD43.png|1000px|none]]<br />
There are records of motion detection in the table below, which includes <strong>Camera, Date</strong> and <strong>Time</strong>, and <strong>Dwell Time</strong> columns.<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Column name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Here you can look at the camera location and a frame of motion detection</td><br />
</tr><br />
<tr><br />
<td>Date and Time</td><br />
<td>Exact date and time when the camera detected a motion</td><br />
</tr><br />
<tr><br />
<td>Dwell Time</td><br />
<td>The time during which the camera was detecting a motion</td><br />
</tr><br />
</table><br />
<br />
Press on the <strong>Frame</strong> icon to look closer at the detected motion.<br><br />
<br />
[[File:MD44.png|1000px|none]]<br />
To download an image of the detected motion click on the <strong>Save Image</strong> button. <br><br />
<br />
[[File:MD45.png|1000px|none]]<br />
<strong>Analytics Start and Stop</strong><br><br />
To start the analytics, click on the <strong>Start</strong> button on the right side of the record. To stop the analytics, click on the <strong>Stop</strong> button.<br><br />
<br />
[[File:MD46.png|1000px|none]]<br />
When you click on the <strong>Stop</strong> button, the confirmation window opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:MD47.png|1000px|none]]<br />
<strong>Analytics Deletion</strong><br><br />
To delete the analytics, click on the <strong>Delete</strong> icon on the right side of the record.<br><br />
<br />
[[File:MD48.png|1000px|none]]<br />
In opened window press <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
<br />
[[File:MD49.png|1000px|none]]<br />
== Events <br> == <br />
To view the Motion Detection Events notifications, select <strong>Motion Detection</strong> in the left menu and pass into the <strong>Events</strong> section.<br><br />
<br />
[[File:MD50.png|1000px|none]]<br />
<strong>Events Search</strong><br><br />
There is a search field at the top of the page.<br><br />
<br />
[[File:MD51.png|1000px|none]]<br />
Here you can filter motion detection events by the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Title</th><br />
<th>Recommendations</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Here you can filter motion detection events by the following parameters:</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press on the field and select the camera you want to receive notifications for from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Rule Type</td><br />
<td>Press on the field and select the desired rule type.</td><br />
</tr><br />
</table><br />
<br />
Press <strong>Search</strong> to display the search results. Press <strong>Reset</strong> to clear the input fields.<br><br />
<strong>Events View</strong><br />
To go to the view in the table format, press the corresponding icon in the upper-right corner.<br><br />
<br />
[[File:MD52.png|1000px|none]]<br />
To return to the grid format, press the corresponding icon in the upper-right corner again.<br><br />
<br />
[[File:MD53.png|1000px|none]]<br />
<strong>Frame View</strong><br><br />
To take a closer look at the frame with an object, press the enlargement icon.<br><br />
<br />
[[File:MD88.jpg|1000px|none]]<br />
Press "+" to <strong>Zoom in</strong> or "-" to <strong>Zoom out</strong> the frame. Press "~" to return the frame to the default size.<br />
<br />
[[File:MD99.jpg|1000px|none]]<br />
To download the image, press the <strong>Save Image</strong> button.</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Traffic_Intensity_Determination_VCA&diff=1017VCloud.ai Traffic Intensity Determination VCA2023-11-13T19:31:06Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><strong>Traffic - Module of Traffic Intensity Determination</strong><br><br />
<br />
== Main functionality <br> ==<br />
• Determinate the level of carriageway and sidewalks load at different times of day<br><br />
• Monitor the traffic in shopping centers and other premises with considerable congestion of people<br><br />
• Determination of cars and trucks, public transport, motorcycles, bicycles, pedestrians, etc. traffic intensity.<br><br />
<br />
== Product Description <br> == <br />
The <strong>Traffic</strong> module is intended for the calculation of intensity and determination of traffic structure according to the video image. Video arrives directly from surveys and special cameras online.<br><br />
<br />
<strong>“Traffic”</strong> module can be used for:<br><br />
• Prevention of traffic jams or excessive congestion of people formation on roads and infrastructure facilities;<br><br />
• Forecasting of streets, roads, or areas load depending on the time of day, a season or day of the week;<br><br />
• Determinations of optimal routes for the couriers, transport, or personnel transportation movement to minimize the risk of a hit in traffic jams;<br><br />
• Determinations of supermarkets, shopping centers passability level.<br><br />
<br />
<strong>Basic data which are used by module:</strong><br><br />
• Determination of intensity, quantity, and structure of vehicles on certain location/street/area per time unit<br><br />
• Analysis of vehicles and people traffic on the basis of the images received from surveillance cameras<br><br />
<br />
<strong>Sysyem Requirements</strong><br><br />
It is necessary to have the minimum system requirements for one video stream for Traffic module installation on GPU as in the table below. <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Recommended value</th><br />
</tr><br />
<tr><br />
<td>CPU</td><br />
<td>Intel Core i5-5575 or higher</td><br />
</tr><br />
<tr><br />
<td>RAM</td><br />
<td>1 GB RAM</td><br />
</tr><br />
<tr><br />
<td>GPU</td><br />
<td>NVIDIA 1030</td><br />
</tr><br />
<tr><br />
<td>Places for archive</td><br />
<td>1 GB in a month</td><br />
</tr><br />
<tr><br />
<td>Operating system</td><br />
<td>Ubuntu 20.04</td><br />
</tr><br />
</table><br />
<br />
== Analysis <br> ==<br />
In order to open the Traffic analytics, select <strong>Traffic</strong> in the left menu and pass to the <strong>Analytics</strong> section.<br><br />
[[File:Траффик1.png|1000px|none]]<br />
In the <strong>Analytics</strong> section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, view, or delete analytics.<br> <br />
There is a <strong>search field</strong> at the top of the page. Here you can filter analytics by the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Analytics name or part of a name can be entered in this field</td><br />
</tr><br />
<tr><br />
<td>Status</td><br />
<td>Select the Analytics status from the drop-down list - All, Active, or Stopped</td><br />
</tr><br />
</table><br />
[[File:Traffic2 ed.png|1000px|none]]<br />
To start the search click on the <strong>Find</strong> button. To clear the fields click on the <strong>Reset</strong> button.<br><br />
The list of analytics is shown in the table below.<br><br />
<strong>Analytics Adding</strong><br><br />
In order to add new Traffic analytics, press <strong>Add Analytics</strong> in the upper right corner of the page.<br><br />
[[File:Traffic3.jpg|1000px|none]]<br />
The Traffic analytics setup process consists of <strong>3 Steps.</strong><br><br />
<strong>Step 1 - General</strong><br><br />
[[File:Traffic4.png|1000px|none]]<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
[[File:Traffic5.png|1000px|none]]<br />
You can also enter the part of the camera name in the <strong>Search</strong> field to find the necessary video stream faster.<br><br />
[[File:Traffic6.png|1000px|none]]<br />
On the right side of the window, you can see the video stream preview and information about <strong>Camera</strong> name and <strong>Address, Time Zone, Resolution, Codec,</strong> and <strong>Type.</strong><br><br />
[[File:Traffic7.png|1000px|none]]<br />
When the video stream is selected press the <strong>Set Video Stream</strong> button.<br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition.<br><br />
It is possible if a video stream was selected.<br><br />
To add analytics it is necessary to set up the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Tracker Sensitivity</td><br />
<td>Move the slider to the left (to decrease) or to the right (to increase) the tracker sensitivity. Possible range from 1 to 8, the value is 4 by default</td><br />
</tr><br />
<tr><br />
<td>Update Frequency</td><br />
<td>Enter the interval between analytics value updates in seconds. Possible range from 1 to 100 sec</td><br />
</tr><br />
<tr><br />
<td>Object Type</td><br />
<td>Select object type (person or transport) for traffic tracking</td><br />
</tr><br />
<tr><br />
<td>Recognition Options</td><br />
<td>Parameters on which the chosen object recognition is performed</td><br />
</tr><br />
</table><br />
<strong>Recognition Options</strong><br><br />
Add lines to the area of interest. This function allows tracing the object traffic.<br><br />
Each line appears in the middle of the area by default.<br><br />
Move the line markers to the desired place (as in the example) to set the line perpendicular to the intended objects' movement.<br><br />
[[File:Traffic8.png|1000px|none]]<br />
Then set the traffic accounting direction. For this purpose click on the <strong>Change Direction</strong> button. The arrow will change its direction after each click on the button.<br><br />
[[File:Traffic9.png|1000px|none]]<br />
If you use <strong>two-way</strong> directions - determine the direction of <strong>Entry</strong> and <strong>Exit</strong> by moving the slider to the left or right side.<br />
<strong>Note</strong>: If you use one-way direction, the <strong>Entry/Exit</strong> slider is unavailable.<br />
Finally, if you have chosen the <strong>Transport</strong> object type earlier, check the boxes next to the desired objects for traffic counting in the <strong>Objects</strong> section.<br><br />
[[File:Traffic10.png|1000px|none]]<br />
<strong>Note:</strong> If you have chosen the <strong>Person</strong> object type, the section <strong>Objects</strong> is unavailable.<br />
If you need to <strong>add</strong> more lines with different rules, click on the <strong>Add Rule</strong> button.<br />
[[File:Traffic11.png|1000px|none]]<br />
If you want to <strong>delete</strong> some lines, click on the <strong>Delete Rule</strong> button.<br><br />
[[File:Traffic12.png|1000px|none]]<br />
To pass to the next step, click on the <strong>Next</strong> button in the upper right corner of the page<br><br />
[[File:Traffic13.png|1000px|none]]<br />
<strong>Step 2 — Hardware</strong><br><br />
[[File:Traffic14.png|1000px|none]]<br />
Now it is time to customize <strong>Hardware</strong> options. System users can change the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
When all necessary parameters are selected, go forward to the last step by clicking on the Next button in the upper right corner of the page.<br><br />
<strong>Step 3 - Notifications</strong><br><br />
Finally, it is possible to customize Notifications.<br><br />
[[File:Traffic15.png|1000px|none]]<br />
There are two main options for sending notifications:<br />
• If you check the box next to <strong>Internal notification</strong>, the system sends all notifications to the <strong>Events</strong> section of the module;<br><br />
• If you check the box next to <strong>Send events to Event Manager</strong>, the system sends all notifications to the <strong>Event Manager</strong> and then to external resources.<br><br />
<strong>Note:</strong> You can choose one of them or use both simultaneously.<br><br />
[[File:Traffic16.png|1000px|none]]<br />
If you check the box next to <strong>Send events to Event Manager</strong>, it is necessary to fill in the following fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
<br />
To add more parameters, click on the <strong>Add Options</strong> button.<br />
[[File:Traffic17.png|1000px|none]]<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
[[File:Traffic18.png|1000px|none]]<br />
If you want to make changes to previous steps, click on the <strong>Back</strong> button in the upper right corner of the page.<br><br />
[[File:Traffic19.png|1000px|none]]<br />
When the analytics setup is complete, click on the Save button in the upper right corner of the page to save changes and create the analytics.<br><br />
[[File:Traffic20.png|1000px|none]]<br />
<strong>Analytics Editing</strong><br><br />
To open the Traffic analytics editing window, press the <strong>Edit</strong> button on the right side of the analytics record.<br><br />
[[File:Traffic21.png|1000px|none]]<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is <strong>active</strong> at the moment, it is necessary to <strong>disable</strong> it by clicking on the Stop Analytics button in the upper right corner of the editor page.<br><br />
[[File:Traffic22.png|1000px|none]]<br><br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens. Click Yes to confirm the analytics disable or click <strong>No</strong> to cancel the action.<br><br />
[[File:Traffic23.png|1000px|none]]<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General, Hardware, and Notifications.</strong> The <strong>General</strong> tab opens first by default.<br><br />
The current tab is always <strong>highlighted</strong>. You can switch among them by clicking on their names.<br><br />
[[File:Traffic24.png|1000px|none]]<br />
<strong>General Tab</strong><br><br />
At the General tab it is possible to edit the following parameters: <br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Tracker Sensitivity</td><br />
<td>Move the slider to the left (to decrease) or to the right (to increase) the camera sensitivity. Possible range from 1 to 8</td><br />
</tr><br />
<tr><br />
<td>Update Frequency</td><br />
<td>Enter the interval between analytics value updates in seconds. Possible range from 1 to 100 sec</td><br />
</tr><br />
<tr><br />
<td>Object Type</td><br />
<td>Select object type (person or transport) for traffic tracking</td><br />
</tr><br />
<tr><br />
<td>Recognition Options</td><br />
<td>Parameters on which the chosen object recognition is performed</td><br />
</tr><br />
</table><br />
<strong>Recogintion Options</strong><br><br />
To change the line placement, move the line markers to the desired place.<br><br />
[[File:Traffic25.png|1000px|none]]<br />
To change the traffic accounting direction, click on the <strong>Change Direction</strong> button. The arrow will change its direction after each click on the button.<br><br />
[[File:Traffic26.png|1000px|none]]<br />
If you use two-way directions - determine the direction of <strong>Entry</strong> and <strong>Exit</strong> by moving the slider to the left or right side.<br><br />
<strong>Note:</strong> If you use <strong>one-way</strong> direction, the <strong>Entry/Exit</strong> slider is unavailable.<br><br />
Finally, if you have chosen the <strong>Transport</strong> object type earlier, it is possible to check other boxes next to the desired objects for traffic counting in the <strong>Objects</strong> section.<br><br />
[[File:Траффик10.png|1000px|none]]<br />
<strong>Note:</strong> If you have chosen the <strong>Person</strong> object type, the section <strong>Objects</strong> is unavailable.<br><br />
If you need to <strong>add</strong> more lines with different rules, click on the <strong>Add Rule</strong> button.<br><br />
[[File:Traffic27.png|1000px|none]]<br />
If you want to <strong>delete</strong> some lines, click on the <strong>Delete</strong> Rule button.<br><br />
[[File:Traffic28.png|1000px|none]]<br />
<strong>Hardware Tab</strong><br><br />
At the <strong>Hardware</strong> tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<td>Parameter</td><br />
<td>Description</td><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
[[File:Traffic29.png|1000px|none]]<br />
<strong>Notifications Tab</strong><br><br />
Finally, it is possible to edit <strong>Notifications.</strong><br><br />
There are two main options for sending notifications:<br><br />
• If you check the box next to <strong>Internal notification</strong>, the system sends all notifications to the <strong>Events</strong> section of the module;<br><br />
• If you check the box next to <strong>Send events to Event Manager</strong>, the system sends all notifications to the <strong>Event Manager</strong> and then to external resources. <br><br />
<strong>Note:</strong> You can choose one of them or use both simultaneously.<br><br />
[[File:Traffic30.png|1000px|none]]<br />
If you check the box next to <strong>Send events to Event Manager</strong>, it is necessary to fill in the following fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
To add more parameters, click on the <strong>Add Options</strong> button.<br><br />
[[File:Traffic31.jpg|1000px|none]]<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
[[File:Traffic32.jpg|1000px|none]]<br />
When the analytics editing is complete, click on the Save button to save changes.<br><br />
[[File:Traffic33.jpg|1000px|none]]<br />
<strong>Analytics Viewing</strong><br><br />
To view Traffic analytics, press the <strong>View</strong> icon on the right side of the analytics record.<br />
[[File:Traffic34.jpg|1000px|none]]<br />
It is possible to view only <strong>Active</strong> video streams.<br><br />
In the opened window you can view the video from the camera in <strong>real-time.</strong><br><br />
[[File:Traffic35.png|1000px|none]]<br />
In this window, it is possible to see the traffic amount of <strong>Transport</strong> or <strong>People</strong> depending on the parameters you have set while creating/editing the analytics.<br><br />
There is as many "Line"-boxes on the right side of the page as "Line"-rules were added while creating/editing the analytics. Each box contains the objects' <strong>Current Count.</strong><br />
[[File:Traffic36.png|1000px|none]]<br />
And there is also one extra box with objects' <strong>Total Count</strong>. It shows the total amount of objects counted during analytics total running time.<br><br />
[[File:Traffic37.png|1000px|none]]<br />
<strong>Analytics Start and Stop</strong><br><br />
To start Traffic analytics press <strong>the Start</strong> button in the right part of the record. To stop the analytics press <strong>the Stop</strong> button.<br><br />
[[File:Traffic38.jpg|1000px|none]]<br />
When you click on the <strong>Stop</strong> button, the confirmation pop-up opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action.<br><br />
<strong>Events Viewing</strong><br />
To view events from certain analytics, click on the corresponding icon on the right side of the record.<br><br />
[[File:Traffic39.jpg|1000px|none]]<br />
<strong>Analytics Deletion</strong><br><br />
To delete Traffic analytics press the <strong>Delete</strong> icon on the right side of the analytics record.<br />
[[File:Traffic40.jpg|1000px|none]]<br />
When you click on the <strong>Delete</strong> icon, the confirmation pop-up opens. Press <strong>Yes</strong> to confirm or <strong>No</strong> to cancel the deletion.<br><br />
<br />
== Statistics <br> == <br />
In order to view <strong>Traffic</strong> statistics, select Traffic in the left menu and pass to the <strong>Statistics</strong> section.<br><br />
[[File:Traffic41.png|1000px|none]]<br />
Traffic Statistics is designed to generate statistical reports and count the number of people or vehicles for a certain period of time.<br><br />
<strong>Statistics Filters</strong><br><br />
To filter statistics it is necessary to perform the following operations:<br><br />
• Select a time frame on which statistics will be formed.<br><br />
[[File:Traffic42.jpg|1000px|none]]<br />
For the period selection it is necessary to indicate one of the values: today, yesterday, last 30 days, this month, last month, manually selected period (specify the range of days and time by means of the calendar).<br><br />
• Select the camera from which the video stream is reproduced. It is possible to filter by <strong>All</strong> cameras or select only some of them.<br />
[[File:Traffic43.png|1000px|none]]<br />
Then press the <strong>Filter</strong> button. To clear the fields click on the <strong>Reset</strong> button.<br><br />
[[File:Traffic44.png|1000px|none]]<br />
<strong>Export</strong><br><br />
It is possible to generate and download a statistical report in <strong>PDF</strong> or <strong>Excel</strong> formats.<br><br />
[[File:Traffic45.jpg|1000px|none]]<br />
<strong>Statistics Tabs</strong><br><br />
To view statistics by hours, days, weeks, months, or lines select the corresponding tab.<br><br />
[[File:Traffic46.jpg|1000px|none]]<br />
<strong>By Hours Tab</strong><br><br />
In the <strong>By hours</strong> tab, it is possible to see quantitative indicators on <strong>Transport</strong> and <strong>People</strong> with respect to hourly specification and on days of the week.<br><br />
You can select the necessary type of <strong>Transport</strong> by pressing the menu <strong>Types</strong>.<br><br />
[[File:Traffic47.jpg|1000px|none]]<br />
<strong>Days, Weeks, Months Tabs</strong><br><br />
In the <strong>Days, Weeks,</strong> and <strong>Months</strong> tabs, it is possible to delete the unnecessary elements from the diagram, pressing the object name under the diagram or the pie chart.<br><br />
[[File:Traff1.jpg|1000px|none]]<br />
<strong>Lines Tab</strong><br><br />
In the <strong>Lines</strong> tab, it is possible to view the quantitative specifications on types of <strong>Transport</strong> and <strong>People</strong> concerning the lines tied to analytics cameras.<br><br />
[[File:Traff2.png|1000px|none]]<br />
<strong>Files Statistics</strong><br><br />
If you have run analytics with a <strong>video file</strong> instead of the video stream, you can view the results in the <strong>Files Statistics</strong> section in the <strong>Traffic</strong> module.<br><br />
[[File:Traff3.png|1000px|none]]<br />
<strong>Filter</strong><br><br />
<strong>Filter fields</strong> are located at the top of the screen.<br><br />
[[File:Traff4.png|1000px|none]]<br />
<table border="1"><br />
<tr><br />
<th>Filter fields</th><br />
<th>Parameter</th><br />
</tr><br />
<tr><br />
<td>File</td><br />
<td>You can choose the required file name from the drop-down list</td><br />
</tr><br />
<tr><br />
<td>Start, min</td><br />
<td>Fill in the start point of a video stream in minutes</td><br />
</tr><br />
<tr><br />
<td>End, min</td><br />
<td>Fill in the endpoint of a video stream in minutes</td><br />
</tr><br />
<tr><br />
<td>Interval, min</td><br />
<td>Fill in the interval between checkpoints in minutes</td><br />
</tr><br />
</table><br />
Enter <strong>required parameters</strong> and press the <strong>Filter</strong> button to view the results. To clear the fields click on the <strong>Reset</strong> button.<br />
[[File:Traff5.png|1000px|none]]<br />
<strong>Results</strong><br><br />
The statistics results will be shown in a <strong>table</strong> and in <strong>graphs</strong>.<br />
[[File:Traff6.png|1000px|none]]<br />
You can move the mouse cursor to the <strong>checkpoint</strong> on a <strong>graph</strong> you are interested in and see how many objects were recognized by the analytics during this period. <br />
<strong>Table</strong><br><br />
You can see the same data for the same period of time in the <strong>table</strong> below.<br><br />
The <strong>table of files statistics</strong> consists of the following columns: Time, min, People, Bicycles, Cars, Motorcycles, Trucks, Buses.<br><br />
[[File:Traff7.png|1000px|none]]<br />
The amount of these fields depends on the <strong>current analytics parameters</strong> you have selected.<br><br />
There is a <strong>Total</strong> line at the bottom of the table, which shows the total amount of objects recognized by the analytics for the selected time frame.<br />
[[File:Traff8.png|1000px|none]]<br />
== Events <br> ==<br />
To view the Traffic Events notifications, select <strong>Traffic Analytics</strong> in the left menu and pass into the <strong>Events</strong> section.<br><br />
[[File:Traff9.png|1000px|none]]<br />
<strong>Events Search</strong><br><br />
There is a traffic event <strong>search</strong> field at the top of the page.<br><br />
[[File:Traff10.png|1000px|none]]<br />
Here you can filter traffic events by the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Click on the field and select the desired time frame</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press on the field and select the camera you want to receive notifications for from the drop-down list</td><br />
</tr><br />
<tr><br />
<td>Object Type</td><br />
<td>Press on the field and select the desired object types - Person, Bicycle, Car, Motorbike, Bus, Truck</td><br />
</tr><br />
</table><br />
Press <strong>Search</strong> to display the search results. Press <strong>Reset</strong> to clear the input fields.<br><br />
[[File:Traf11.png|1000px|none]]<br />
<strong>Events View</strong><br><br />
To go to the view in the table format, press the corresponding icon in the upper-right corner.<br><br />
[[File:Traff12.png|1000px|none]]<br />
To return to the grid format, press the corresponding icon in the upper-right corner again.<br><br />
[[File:Traff13.png|1000px|none]]<br />
<strong>Frame View</strong><br />
To take a closer look at the frame with an object, press the enlargement icon.<br><br />
[[File:Traff14.png|1000px|none]]<br />
Press "+" to <strong>Zoom in</strong> or "-" to <strong>Zoom out</strong> the frame. Press "~" to return the frame to the default size.<br><br />
[[File:Traff15.png|1000px|none]]<br />
== Camera Compatibility <br> ==<br />
The solution is compatible with all cameras, that return the RTSP stream.<br />
== Camera Installation Requirements <br> == <br />
Static and reliable camera mount<br><br />
• Top view/perspective, top view<br><br />
• Avoid refocusing and image sharpness changes<br><br />
• There should be no overexposures and glare in the frame<br><br />
• Detected objects are not overlapped by other objects<br><br />
<strong>Object Size Requirement</strong><br><br />
• Person size min: 45x90px; recommended: 60x90px<br><br />
• Vehicle size min: 45x45px; recommended: 90x90px<br></div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Face_Recognition_VCA&diff=1016VCloud.ai Face Recognition VCA2023-11-13T19:30:31Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><strong>Face Recognition Module</strong><br />
<br />
== Main functionality <br> ==<br />
<br />
• Face search and facial recognition in real time <br><br />
• View location and movement of a person with instant notification that such person has been found <br><br />
• Face detection and comparison against preloaded database of faces <br><br />
• Face identification with additional characteristics like beard, mustache, glasses, face shield, mask <br><br />
• Creation of lists of people whose movement should be controlled <br><br />
• White/Black & VIP Lists <br><br />
• Support for import (CSV) and export of database (EXCEL/PDF/CSV/JSON) <br><br />
• Ability to process statistical data and generate reports <br><br />
• Cross-platform and multilingual interface <br><br />
<br />
== Recognition conditions <br> ==<br />
<br />
<strong> Hardware and software </strong> <br><br />
<br />
The algorithm is based on the use of neural network detectors,<br />
so the module requires nVidia video card (GPU) with a computing power index of at least 5.0;<br />
at the same time, the characteristics and performance of the video card must not be lower than nVidia GTX 1050 model. <br><br />
<br />
<strong> Faces </strong><br />
<br />
<strong> Images added to the face database must meet the following requirements: </strong> <br><br />
<br />
• face position - strictly full face, without turns; <br><br />
• look - directly into the lens; <br><br />
• neutral facial expression; <br><br />
• eyes are open and clearly visible; <br><br />
• lack of hats and dark glasses; <br><br />
• the image is sharp and clear; <br><br />
• lack of deep shadows; <br><br />
• there should be no scanning artifacts, as well as reshooting from screens; <br><br />
• proportions should not be distorted; <br> <br />
• no side light source (for example, sunlight from a window) is allowed. <br><br />
<br />
[[File:6edited.png|700px|none]]<br><br />
<br />
<strong> Video stream </strong> <br><br />
Optimal resolution for module operation: HD or FullHD. <br><br />
<br />
Frame rate: at least 10 frames per second. <br><br />
<br />
The video stream must not be mirrored (horizontally reflected). <br><br />
<br />
<strong>Lighting and image quality</strong> <br><br />
<br />
The illumination of faces in the frame should be uniform and constant.<br />
If the camera is installed in front of a bright light source (the sun behind the entrance door, etc.),<br />
then it is necessary to adjust the exposure (or brightness) so that the face in the frame is bright. <br />
In this case, an overexposed background is allowed. The image quality should be at least average. <br />
There should be no significant compression artifacts. No blurring of the faces of moving people. The image must be colored. <br><br />
<br />
<strong> Scene and camera position </strong> <br><br />
<br />
• People's faces must be fully visible in the frame. <br><br />
• There must be no reflective surfaces in the frame: glasses, mirrors, etc. <br><br />
• Do not allow a strong side light source (sunlight from a window), due to which one half of the face is overexposed. <br><br />
• It is allowed to place the camera above the level of the face, directly in the direction of the recognized people. In this case, the tilt angle of the camera should not exceed 35°. <br><br />
• The distance between the pupils of the recognized face in the frame must be at least 30 pixels. The camera should be pointed directly at the faces of the people it recognizes. The angle between the direction of the face and the axis of the lens: should not exceed 30 °. <br><br />
<br />
Examples of requirements violations: <br><br />
[[File:5edited.png|500px]]<br />
[[File:4edited.png|500px]]<br />
[[File:3edited.png|500px]]<br />
[[File:1edited.png|500px]]<br />
<br />
<strong>Recommended camera settings </strong> <br><br />
<br />
• Quality: the highest. <br><br />
• Bit rate: maximum possible. <br><br />
• Profile: the highest possible. <br><br />
• Frame interval (GOV): 50. <br><br />
• Stream smoothing: off. <br><br />
• Exposure and brightness: such that for a given scene the face is clearly visible (if the camera is aimed at a light source, then an overexposed background is allowed). <br><br />
• Shutter speed: do not set too slow (more than 1/50), because in this case, the effect of blurring moving objects appears. <br><br />
<br />
== Product Description <br> ==<br />
<br />
<strong> Face Recognition module can be used for: </strong> <br><br />
<br />
• Preventions of crimes; <br><br />
• Abuses and offenses fixation; <br><br />
• Optimization of gating systems on production sites, in companies or public and commercial institutions; <br><br />
• Security systems creation for schools, kindergartens, educational institutions; <br><br />
• Space and events control at stations and airports; <br><br />
• Loyalty programs forming in supermarkets and retail networks; <br><br />
• Marketing analysis on buyers activity in shops departments; <br><br />
• Buyers control in shops. <br><br />
<br />
<strong> Basic data used by the Face Recognition module: </strong> <br><br />
<br />
• Face recognition in a flow of people on city streets, in crowd or indoors; <br><br />
• Data analysis and frames with faces allocation from the video stream received from surveillance cameras; <br><br />
• Photographic materials collecting information about the location of the person, time of fixing, and personal data; <br><br />
• Age and sex determination of the recognized person; <br><br />
• Obtained data can be verified with "white" or "black" lists. <br><br />
<br />
<strong> System Requirements </strong> <br><br />
<br />
For installation of the Face Recognition module on GPU for one video stream it is necessary to have at least minimal system requirements given in the table below. <br><br />
<br />
<table border="1"><br />
<tr><br />
<th><br />
Parameter<br />
</th><br />
<th><br />
Recommended value<br />
</th><br />
</tr><br />
<tr> <br />
<td><br />
CPU<br />
</td><br />
<td><br />
Intel Core i5-5575 and more<br />
</td><br />
</tr><br />
<tr> <br />
<td><br />
RAM<br />
</td><br />
<td><br />
3 GB RAM - detection, 5 GB RAM - detection + recognition<br />
</td><br />
</tr><br />
<br />
<tr> <br />
<td><br />
GPU<br />
</td><br />
<td><br />
NVIDIA 1050<br />
</td><br />
</tr><br />
<br />
<tr> <br />
<td><br />
Places for archive<br />
</td><br />
<td><br />
Up to 3 GB per day<br />
</td><br />
</tr> <br />
<br />
<tr> <br />
<td><br />
Operating system<br />
</td><br />
<td><br />
Ubuntu 20.04<br />
</td><br />
</tr><br />
<br />
</table><br />
<br />
== Analytics <br> ==<br />
To open the Face Recognition analytics, select Face Recognition in the left menu and pass to the Analytics section. <br><br />
[[File:Vcloud.png|1000px|none]]<br />
The page displays a list of analytics with the status and the ability to add, edit, view, or delete face recognition analytics. <br><br />
There is a search field at the top of the page. Here you can filter analytics by the following parameters: <br><br />
<br />
<table border="1"><br />
<tr><br />
<th><br />
Field name<br />
</th><br />
<th><br />
Description<br />
</th><br />
</tr><br />
<tr><br />
<td><br />
Camera<br />
</td><br />
<td><br />
Analytics name or part of a name can be entered in this field<br />
</td><br />
</tr><br />
</tr><br />
<tr><br />
<td><br />
Status<br />
</td><br />
<td><br />
Select the Analytics status from the drop-down list - All, Active, or Stopped<br />
</td><br />
</tr><br />
</table><br />
To start the search click on the <strong>Search</strong> button. To clear the fields click on the <strong>Reset</strong>button. <br><br />
[[File:Search+field+new.jpg|1000px|none]]<br />
The list of analytics is shown in the table below. <br><br />
<br />
<strong> Analytics Adding </strong> <br><br />
To add new analytics of face recognition, press <strong>Add Analytics </strong>in the upper right corner of the page. <br><br />
[[File:Add+new.jpg|1000px|none]]<br />
The Face Recognition analytics setup process consists of <strong>3 Steps</strong>.<br><br />
<br />
<strong>Step 1 — General</strong> <br><br />
[[File:Step1.jpg|1000px|none]]<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
[[File:14.jpg|1000px|none]]<br />
You can also enter the part of the camera name in the <strong>Search</strong> field to find the necessary video stream faster.<br><br />
[[File:15 .jpg|1000px|none]]<br />
On the right side of the window, you can see the video stream preview and information about <strong>Camera</strong> name and <strong>Address, Time Zone, Resolution, Codec,</strong> and <strong>Type</strong>.<br><br />
[[File:16 .jpg|1000px|none]]<br />
<br />
When the video stream is selected press the <strong>Set Video Stream</strong> button. <br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition. <br><br />
It is possible if a video stream was selected. <br><br />
To add analytics it is necessary to set up the following parameters: <br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Minimum Face Height</td><br />
<td> Establish the minimum size of the face which will be recognized by analytics. The minimum possible value – 80 pixels. </td><br />
</tr><br />
<tr><br />
<td>Camera Buffer</td><br />
<td>Enter the number of seconds of a delay. The person, that was recognized, can be recognized through the specified interval again. The possible range is from 1 to 600 sec.</td><br />
</tr><br />
<tr><br />
<td>Frames to Detect</td><br />
<td>Enter a number of frames. The higher number of frames, the better the quality of recognition, but at the same time, the person should be in a frame for a longer period of time. The smaller number of frames, the lower the quality of recognition, but detecting happens quicker. The possible range is from 1 to 100.</td><br />
</tr><br />
<tr><br />
<td>Age Detection</td><br />
<td>Move the slider to enable/disable the age detection.</td><br />
</tr><br />
<tr><br />
<td>Gender Detection</td><br />
<td>Move the slider to enable/disable the gender detection.</td><br />
</tr><br />
<tr><br />
<td>Mask Detection</td><br />
<td>Move the slider to enable/disable the mask detection.</td><br />
</tr><br />
<tr><br />
<td>Liveness</td><br />
<td>Move the slider to enable/disable the liveness recognition.</td><br />
</tr><br />
</table><br />
<br />
Then it is necessary to place a <strong>recognition area</strong>.<br><br />
Move the white and red markers to line up the desired area. <br><br />
[[File:17 .jpg|1000px|none]]<br />
Recognition analytics will be performed only within the boundaries of the selected area. <br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
[[File:18 .jpg|1000px|none]]<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor.<br />
It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one. <br><br />
[[File:19 1.png|1000px|none]]<br />
To pass to the next step, click on the <strong>Next</strong> button in the upper right corner of the page. <br><br />
[[File:191.jpg|1000px|none]]<br />
<strong>Step 2 — Hardware</strong> <br><br />
<br />
[[File:20 .png|1000px|none]]<br />
<br />
Now it is time to customize <strong>Hardware</strong> options. System users can change the following parameters: <br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
When all necessary parameters are selected, go forward to the last step by clicking on the <strong> Next button</strong> in the upper right corner of the page. <br><br />
<br />
<strong>Step 3 — Notifications</strong> <br><br />
Finally, it is possible to customize <strong>Notifications</strong>.<br />
[[File:21 .jpg|1000px|none]]<br />
<br />
Check the box next to <strong>Blur face in preview mode</strong> if it is necessary to blur faces on all detect previews in the module.<br><br />
Check the box next to <strong>Send events to Event Manager.</strong> The system will send all notifications to the <strong>Event Manager</strong> and then to external resources. <br><br />
<br />
[[File:22 .jpg|1000px|none]]<br />
<br />
Then it is necessary to fill in the following fields: <br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.</td><br />
</tr><br />
</table><br />
<br />
To add more parameters, click on the <strong>Add Options</strong> button. <br><br />
<br />
[[File:23 .jpg|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon. <br><br />
[[File:24 .jpg|1000px|none]]<br />
<br />
If you want to make changes to previous steps, click on the <strong>Back</strong> button in the upper right corner of the page. <br><br />
<br />
[[File:25 .jpg|1000px|none]]<br />
<br />
When the analytics setup is complete, click on the <strong>Save</strong> button in the upper right corner of the page to save changes and create the analytics.<br><br />
<br />
[[File:26 .jpg|1000px|none]]<br />
<br />
<strong>Analytics Editing</strong><br><br />
To open the Face Recognition analytics editing window, click the <strong>Edit</strong> button on the right side of the analytics record.<br><br />
[[File:Editor+new.jpg|1000px|none]]<br />
<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is <strong>Active</strong> at the moment, it is necessary to <strong>disable</strong> it by clicking on the <strong>Stop Analytics</strong> button in the upper right corner of the editor page.<br><br />
[[File:28.jpg|1000px|none]]<br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens. Click <strong>Yes</strong> to confirm the analytics disable or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:29.jpg|1000px|none]]<br />
<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General, Hardware, and Notifications</strong>. The <strong>General</strong> tab opens first by default.<br><br />
The current tab is always <strong>highlighted</strong>. You can switch among them by clicking on their names.<br><br />
<br />
[[File:30.jpg|1000px|none]]<br />
<br />
<strong>General Tab</strong> <br><br />
<br />
At the <strong>General</strong> tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Minimum Face Height</td><br />
<td>Establish the minimum size of the face which will be recognized by analytics. The minimum possible value – 80 pixels.</td><br />
</tr><br />
<tr><br />
<td>Maximum Face Height</td><br />
<td>Establish the maximum size in pixels of the face which will be recognized by analytics.</td><br />
</tr><br />
<tr><br />
<td>Camera Buffer</td><br />
<td>Enter the number of seconds of a delay. The person, that was recognized, can be recognized through the specified interval again. The possible range is from 1 to 600 sec.</td><br />
</tr><br />
<tr><br />
<td>Frames to Detect</td><br />
<td>Enter a number of frames. The higher number of frames, the better the quality of recognition, but at the same time, the person should be in a frame for a longer period of time. The smaller number of frames, the lower the quality of recognition, but detecting happens quicker. The possible range is from 1 to 100.</td><br />
</tr><br />
<tr><br />
<td>Age Detection</td><br />
<td>Move the slider to enable/disable the age detection</td><br />
</tr><br />
<tr><br />
<td>Gender Detection</td><br />
<td>Move the slider to enable/disable the gender detection</td><br />
</tr><br />
<tr><br />
<td>Mask Detection</td><br />
<td>Move the slider to enable/disable the mask detection</td><br />
</tr><br />
<tr><br />
<td>Liveness</td><br />
<td>Move the slider to enable/disable the liveness recognition</td><br />
</tr><br />
</table><br />
<br />
Then it is possible to edit a <strong>recognition area.</strong><br><br />
Move the white and red markers to line up the desired area.<br><br />
<br />
[[File:31.jpg|1000px|none]]<br />
<br />
Recognition analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:32.jpg|1000px|none]]<br />
<br />
To create a new area from the beginning, click somewhere inside the frame. Then move the mouse cursor.<br />
It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area.<br />
The last point should be placed at the same place as the first one.<br><br />
<br />
[[File:Image2021-12-14 15-53-36.png|1000px|none]]<br />
<br />
<strong>Hardware Tab</strong><br><br />
At the <strong>Hardware</strong> tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration.</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia.</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT).</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
</td>Enter the desired number of frames per second in the field for detection. The recommended value is 25.</td><br />
</tr><br />
</table><br />
<br />
[[File:Image2021-12-14 15-56-36.png|1000px|none]]<br />
<br />
<strong>Notifications Tab</strong><br><br />
At the <strong>Notifications</strong> tab it is possible to edit values in the following fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields.</td><br />
</tr><br />
</table><br />
<br />
To add parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:33.jpg|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:34.jpg|1000px|none]]<br />
<br />
When the analytics editing is complete, click on the <strong>Save</strong> button in the right upper corner of the editor page to save changes.<br><br />
<br />
[[File:35.jpg|1000px|none]]<br />
<br />
<strong>Analytics Viewing</strong> <br><br />
<br />
To view <strong>Face Recognition</strong> analytics, press the <strong>View</strong> icon on the right side of the analytics record. <br><br />
<br />
[[File:41.jpg|1000px|none]]<br />
<br />
It is possible to view only <strong>Active</strong> video streams. <br><br />
In the opened window you can see the records of the recognized faces in <strong>real-time.</strong><br><br />
[[File:Image2021-12-14 16-48-31.png|1000px|none]]<br />
<br />
It is also possible to <strong>Edit</strong> the current analytics or view all <strong>Events</strong> of current analytics. For this purpose click on the button <strong>View All Analytics Events</strong> to move to the <strong>Events</strong> page or click on the <strong>Edit Analytic</strong> button to move to the <strong>Editor</strong> page. <br><br />
<br />
[[File:39.jpg|1000px|none]]<br />
<br />
<strong>Analytics Start and Stop</strong> <br><br />
To start the <strong>Face Recognition</strong> analytics, click on the <strong>Start</strong> button on the right side of the record. To stop the analytics, click on the Stop button.<br><br />
<br />
[[File:40.jpg|1000px|none]]<br />
<br />
When you click on the Stop button, the confirmation window opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action. <br><br />
<br />
[[File:Image2021-12-14 17-18-41.png|1000px|none]]<br />
<br />
<strong>Events Viewing</strong> <br><br />
To view events from certain analytics, click on the corresponding icon on the right side of the record. <br><br />
<br />
[[File:42.jpg|1000px|none]]<br />
<br />
<strong>Analytics Deletion</strong> <br><br />
To delete the <strong>Face Recognition</strong> analytics, click on the <strong>Delete</strong> icon on the right side of the record.<br><br />
<br />
[[File:36.jpg|1000px|none]]<br />
<br />
In the following window, click <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
[[File:37.jpg|1000px|none]]<br />
<br />
== Search<br> ==<br />
The <strong>Search</strong> section is intended for viewing the search results of recognized faces.<br />
<br />
[[File:Search1.png|1000px|none]]<br />
<br />
<strong>Search Parameters</strong><br><br />
Face search fields are at the top of the page. <br><br />
<br />
[[File:44 .jpg|1000px|none]] <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which it is necessary to make a search.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select cameras on which the search should be performed.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>Select a necessary list (or All Lists/Off the List).</td><br />
</tr><br />
<tr><br />
<td>Person</td><br />
<td>Select a person from a drop-down list. Available only if a certain List was selected.</td><br />
</tr><br />
<tr><br />
<td>Gender</td><br />
<td>Select a specific gender</td><br />
</tr><br />
<tr><br />
<td>Mask</td><br />
<td>Set a medical mask presence or absence on a face.</td><br />
</tr><br />
<tr><br />
<td>Age</td><br />
<td>Move markers to set an age range</td><br />
</tr><br />
</table><br />
<br />
<strong>Press Find to show search results. Press Reset to clean the fields.</strong> <br><br />
Click on the <strong>Search by Photo</strong> button to perform a search among chosen photos on a device.<br><br />
<br />
<strong>Search Results</strong> <br><br />
<strong>Search results</strong> are displayed in the table below. <br><br />
<br />
[[File:Image2021-12-15 12-48-34.png|1000px|none]]<br />
<br />
To go to the <strong>Grid View</strong> mode click on the corresponding icon in the upper right corner of the page. <br><br />
<br />
[[File:45 .jpg|1000px|none]]<br />
<br />
To return to the <strong>List View</strong>mode click on the corresponding icon in the upper right corner again.<br><br />
<br />
[[File:46 .jpg|1000px|none]]<br />
<br />
<strong>Records adding and editing</strong> <br><br />
If the person is not in the list, but it is necessary to add the person, press <strong>Add to List</strong> if the type of the list is used:<br />
<br />
[[File:Image2021-5-10 14-31-20.png|1000px|none]]<br />
<br />
or <strong>Add to List</strong> if the type a net is used:<br />
<br />
[[File:Image2021-5-10 14-31-43.png|500px|none]]<br />
<br />
On pressing the button <strong>Add to List</strong> the form of person addition in the list opens.<br />
<br />
[[File:Image2021-5-10 14-31-56.png|500px|none]]<br />
<br />
To add a person enter a name, surname, note and also select one of the existing lists. For changes saving press the button <strong>Save</strong>.<br />
<br />
To enlarge the picture in recognized face record, press an icon of Zoom <br />
[[File:Zoom.png|40px]]<br><br />
<br />
[[File:Image2021-5-10 14-35-18.png|1000px|none]]<br />
<br />
If desired it is possible to save the image by pressing the corresponding button.<br><br />
Press the name of the person in the record to pass the page <strong>Personal Information</strong>. <br><br />
<br />
[[File:Image2021-5-10 14-35-49.png|500px|none]]<br />
<br />
Press the button <strong>Edit</strong> to change the information on the person.<br><br />
<br />
[[File:Image2021-5-10 14-36-4.png|500px|none]]<br />
<br />
In the opened window you can change the following fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Full name</td><br />
<td>Enter a person's name and surname into the field.</td><br />
</tr><br />
<tr><br />
<td>Message</td><br />
<td>Enter the message into the field. The message should contain information about the person.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>Select the list to which the person relates.</td><br />
</tr><br />
</table><br />
<br />
Press the button <strong>Load a Photo</strong> to change a photo of the person.<br><br />
Press <strong>Save</strong> to keep changes.<br><br />
For removal of the person's record from the list press the button <strong>Delete.</strong><br><br />
<br />
[[File:Image2021-5-10 14-37-24.png|500px|none]]<br />
<br />
For viewing the camera location press an icon of camera arrangement in records of the person.<br><br />
<br />
[[File:Image2021-5-10 14-37-37.png|500px|none]]<br />
<br />
To confirm the coincidence to the person from the list press <strong>Yes</strong>. To specify that another person is found press <strong>No</strong>.<br><br />
This function is available if notifications on the list in which there is a record of the person are enabled.<br><br />
To see a frame from the camera press an icon in the upper right corner of a person frame:<br><br />
<br />
[[File:Image2021-5-10 14-37-55.png|500px|none]]<br />
<br />
In the opened window press the button <strong>Save Image</strong> to download a frame with the person.<br><br />
<br />
[[File:Image2021-5-10 14-38-16.png|500px|none]]<br />
<br />
== Lists <br> ==<br />
To create a face database for their subsequent recognition select Face recognition in the menu at the left and pass to the section <strong>Lists.</strong><br><br />
<br />
[[File:Lists.png|1000px|none]]<br />
<br />
<strong>Lists search</strong><br><br />
The search field is at the top of the screen.<br><br />
To find the necessary list enter its name in the field of search.<br><br />
<br />
[[File:Image2021-5-10 14-41-20.png|500px|none]]<br />
<br />
Press <strong>Search</strong> to show the results. Press <strong>Reset</strong> to clear record fields.<br><br />
It is possible to perform the search in available photos on the device. For this purpose, press <strong>Search by Photo</strong> and select the necessary photo.<br><br />
<strong>Search by name</strong><br><br />
To search for a person <strong>by name</strong>, click on the <strong>SEARCH BY NAME</strong> button.<br><br />
<br />
[[File:1faces+sbn.jpg|1000px|none]]<br />
<br />
There is a <strong>search field</strong> at the top of the page.<br><br />
<br />
[[File:2faces+sbn.jpg|1000px|none]]<br />
<br />
Enter the full person's name in the <strong>Full name</strong> field and press <strong>Find</strong>. To remove a name from the search field press <strong>Reset</strong>.<br><br />
Search <strong>results</strong> are displayed in the net format below.<br><br />
Each record consists of the detected person's face <strong>Image</strong> and such lines as a <strong>Person's name</strong>, record <strong>Description, Time and date</strong> of creating a record, and <strong>List</strong> to which the person's card was added.<br><br />
<br />
<strong>Change information</strong><br><br />
To edit record information click on the <strong>Edit</strong> button.<br><br />
<br />
[[File:1faces+edit.jpg|500px|none]]<br />
<br />
In the opened window you can change next fields:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Full name</td><br />
<td>In this field, you can change a person's name.</td><br />
</tr><br />
<tr><br />
<td>Message</td><br />
<td>In this field, you can change the purpose of the created record.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>You can choose another list from the drop-down list</td><br />
</tr><br />
</table><br />
<br />
It is also possible to upload another person's photo for recognition. For this purpose click on the <strong>CHANGE PHOTO</strong> button.<br><br />
<br />
[[File:3+faces+edit.jpg|1000px|none]]<br />
<br />
<strong>Delete a record</strong><br><br />
To delete a record click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:1+faces+delete+record.jpg|500px|none]]<br />
<br />
Press <strong>Yes</strong> to delete a person, press <strong>No</strong> to cancel the deletion.<br><br />
<br />
[[File:2+faces+delete.jpg|500px|none]]<br />
<br />
<strong>View person's card</strong><br />
To view information about a person, click on the person's name.<br><br />
<br />
[[File:1view+person.jpg|1000px|none]]<br />
<br />
The first block consists of the detected person's face <strong>Image</strong> and such lines as a <strong>Person's name</strong>, record <strong>Description, Time and date</strong> of creating a record, and <strong>List</strong> to which the person's card was added.<br><br />
<br />
[[File:Image2021-7-1 16-53-10.png|800px|none]]<br />
<br />
Here you can also edit and delete a person's card using the corresponding buttons.<br><br />
<br />
[[File:Image2021-7-1 16-55-20.png|500px|none]]<br />
<br />
The second block consists of search results, where the person's face was recognized by a camera.<br><br />
To pass to <strong>a tabular</strong> format of records press an icon in the upper right corner.<br />
<br />
[[File:1kim+one.jpg|1000px|none]]<br />
<br />
To return to a <strong>net</strong> format, press an icon in the upper right corner.<br><br />
<br />
[[File:2kim+one.jpg|1000px|none]]<br />
<br />
To enlarge the picture in a recognized face record, press a frame icon.<br><br />
[[File:3kim.jpg|1000px|none]]<br />
<br />
If desired it is possible to save the image by pressing the <strong>Save image</strong> button.<br><br />
<br />
[[File:4kim.jpg|1000px|none]]<br />
<br />
It is also possible to confirm or refuse the match. For this purpose press <strong>Yes</strong> to confirm or <strong>No</strong> to refuse the recognized face matching.<br><br />
<br />
[[File:5kim.jpg|1000px|none]]<br />
<br />
<strong>Adding a list</strong><br><br />
To add a new record, press <strong>Add List</strong> in the screen upper right corner.<br><br />
Fill the fields in the opened window:<br><br />
<br />
[[File:Image2021-5-10 14-43-53.png|500px|none]] <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Enter the name of the record into the field. This field will be displayed in all components of the program that use this record.</td><br />
</tr><br />
<tr><br />
<td>Note</td><br />
<td>This field is intended for the description of the purpose of the created record.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press in the field and select cameras from a drop-down list. The search of person will be performed on the chosen cameras.</td><br />
</tr><br />
<tr><br />
<td>Send notification if the recognized face is on the list.</td><br />
<td>For sending notifications of the found persons for external resources check the field of choice. After that, a field will appear where it is necessary to select an event and to set parameters for notifications sending.</td><br />
</tr><br />
<tr><br />
<td>Confidence threshold</td><br />
<td>Establish the confidence threshold of the recognized person to real. Persons with a smaller confidence threshold will not be registered in notifications.</td><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select an event on which parameters notifications will come from a drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Additional parameters</td><br />
<td>If necessary you can add additional parameters for their further use during event creation. Fill in the fields of parameters. To add parameters press the button ”+ “. To remove parameters press "-".</td><br />
</tr><br />
</table><br />
<br />
<strong>List color selection</strong><br><br />
For the choice of the color press in the field <strong>Color</strong><br><br />
The chosen color of the list will be displayed at records appearing which belong to this list.<br><br />
<br />
[[File:Image2021-5-10 14-47-57.png|200px|none]]<br />
<br />
In the opened window select color which you want to appropriate to the list. For the choice of color press the area with color gradation. There will be in the field an index.<br><br />
Also, you can select a necessary color using entry fields of color parameters.<br><br />
<br />
[[File:Image2021-5-10 14-48-25.png|200px|none]]<br />
<br />
To change a format, for the input of parameters of color, use the button of formats switching that is to the right of the format name.<br><br />
<br />
[[File:Image2021-5-10 14-48-42.png|200px|none]]<br />
<br />
Also, you can select a color using a range of colors that is under a zone of color addition. There is an index in a range. Move the index to the necessary place.<br />
Changes will be displayed in the colors adding zone.<br><br />
<br />
[[File:Image2021-5-10 14-49-56.png|200px|none]]<br />
<br />
To keep the color close a color choice window, pressing the area of the screen outside the window of color selection.<br><br />
To close a window of color choice, press to any place of the screen outside a window of color addition of the list.<br><br />
In order to create a record, press <strong>Save</strong>.<br><br />
<br />
<strong>List editing</strong><br><br />
For record editing press an editing icon to the right of the record name.<br><br />
<br />
[[File:Image2021-5-10 15-6-40.png|1000px|none]]<br />
<br />
Fill the field in the opened window:<br><br />
<br />
[[File:Image2021-5-10 15-6-58.png|500px|none]] <br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Name</td><br />
<td>Enter the name of the record into the field. This field will be displayed in all components of the program that use this record.</td><br />
</tr><br />
<tr><br />
<td>Note</td><br />
<td>This field is intended for the description of created record purpose.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press in the field and select cameras from a drop-down list. A search of face images is performed on the chosen cameras.</td><br />
</tr><br />
<tr><br />
<td>Confidence threshold</td><br />
<td>Establish percent of recognized faces confidence threshold to real. Faces with smaller confidence threshold are not registered in notifications.</td><br />
</tr><br />
<tr><br />
<td>Send notification if the recognized face is in the list</td><br />
<td>For sending notification of the found persons for external resources, check the field of the choice. After that, there will be a field where it is necessary to select an event and to set parameters for notifications sending.</td><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select an event from a drop-down list in which parameters the notifications will be sent.</td><br />
</tr><br />
<tr><br />
<td>Additional parameters</td><br />
<td>If necessary you can add additional parameters for their further use during event creation. Fill in the fields of parameters. For parameters addition press the button “+”. To remove parameters press "-".</td><br />
</tr><br />
</table><br />
<br />
<strong>List color selection editing</strong><br><br />
For color selection press in the field Color<br><br />
The selected color of the list is displayed at records belonging to this list.<br><br />
<br />
[[File:Image2021-5-10 15-8-10.png|200px|none]]<br />
<br />
In the opened window select color which you want to appropriate to the list. For color selection press area with color gradation. The index will be in this field.<br><br />
<br />
Also, you can select the necessary color using color parameters entry fields. <br><br />
<br />
[[File:Image2021-5-10 14-48-25.png|200px|none]]<br />
<br />
To change a format, for color parameters input use the button of formats switching that is to the right of the format name.<br><br />
<br />
[[File:Image2021-5-10 14-48-42.png|200px|none]]<br />
<br />
Also, you can select a color using a range of colors that is under a zone of color addition. There is an index in the range. Move the index to the necessary place. Changes will be displayed in the color adding zone.<br><br />
<br />
[[File:Image2021-5-10 14-49-56.png|200px|none]]<br />
<br />
To save the color close a window of the color selection, by pressing the screen area outside the window of color selection.<br><br />
<br />
To close a window of color selection, press to any place of the screen outside a window of list color addition.<br><br />
To accept the changes press <strong>Save</strong>.<br><br />
<br />
<strong>List deletion</strong><br><br />
For record removal press a basket icon in the right part of the screen.<br><br />
<br />
[[File:Image2021-5-10 15-10-11.png|1000px|none]]<br />
<br />
In the opened window press <strong>Yes</strong>, to confirm the removal. Press <strong>No</strong> to cancel the removal.<br><br />
<br />
For notification activation or stop put the status slider in the relevant provision:<br><br />
<br />
[[File:Image2021-5-10 15-10-27.png|350px|none]]<br />
<strong>List viewing</strong><br><br />
<br />
By pressing the list name or a viewing icon [[File:Eye.png|40px]] you will pass into the section for viewing of information on this list.<br><br />
In list viewing it is possible to perform the search by surname and name of the person or by photo.<br><br />
To find the person from the list by surname and name, enter in whole or in part the information which you want to find in the field <strong>Surname and Name.</strong><br><br />
<br />
To find the person by photo press the button <strong>Search by Photo</strong> and load the photo according to which the search is performed.<br><br />
<br />
[[File:Image2021-5-10 15-11-53.png|1000px|none]]<br />
<br />
<strong>Adding a person to the list</strong><br />
To add a new record, press <strong>Add Person</strong> in the screen upper right corner.<br><br />
<br />
[[File:Image2021-5-10 15-12-26.png|500px|none]]<br />
<br />
Fill the fields in the opened window:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Full name</td><br />
<td>Enter a person's name and surname into the field.</td><br />
</tr><br />
<tr><br />
<td>Message</td><br />
<td>Enter the message into the field. The message should contain information about the person.</td><br />
</tr><br />
</table><br />
<br />
Press the button <strong>Load a Photo</strong> to add a photo of the person.<br><br />
To create a record, press <strong>Save</strong>.<br><br />
<br />
<strong>Generate a report</strong><br><br />
If the <strong>Time&Attendance</strong> function was activated for a list, you have the ability to generate an attendance <strong>report</strong>.<br><br />
For this purpose click on the <strong>Generate a report</strong> button.<br><br />
<br />
[[File:1generate.jpg|1000px|none]]<br />
<br />
The following window will be opened.<br><br />
<br />
[[File:Image2021-7-1 17-45-1.png|500px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Period</td><br />
<td>Select date and time range.</td><br />
</tr><br />
<tr><br />
<td>Type</td><br />
<td>Select report export file type Excel or JSON.</td><br />
</tr><br />
</table><br />
<br />
Click on the <strong>GENERATE</strong> button to download a report.<br><br />
<br />
== Events <br> ==<br />
<br />
To view the history of recognized faces, select <strong>Face Recognition</strong> in the left menu and pass to the <strong>Events</strong> section.<br><br />
<br />
[[File:Events.png|1000px|none]]<br />
<br />
<strong>Events Search</strong><br><br />
The search field is at the top of the page.<br><br />
<br />
[[File:2ev.jpg|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Full Name</td><br />
<td>Enter wanted person's full name or a part of it.</td><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Click on the field and select the necessary time period.</td><br />
</tr><br />
<tr><br />
<td>List</td><br />
<td>Select the necessary list (or All Lists/Off the List).</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select the camera on which you want to see notifications.</td><br />
</tr><br />
<tr><br />
<td>Gender</td><br />
<td>Select a specific gender.</td><br />
</tr><br />
<tr><br />
<td>Mask</td><br />
<td>Click on the field and set if a medical mask should be present on the face. </td><br />
</tr><br />
<tr><br />
<td>Match Percentage</td><br />
<td>Move the markers along the scale to set the range of coincidence in percent</td><br />
</tr><br />
</table><br />
<br />
Press <strong>Search</strong> to display the search results. Press <strong>Reset</strong> to clear the entry fields.<br><br />
<br />
<strong>Events View</strong><br><br />
To go to the list view mode, press the corresponding icon in the upper-right corner.<br><br />
<br />
[[File:3ev.jpg|1000px|none]]<br />
<br />
To return to the grid view mode, press the corresponding icon in the upper-right corner again.<br><br />
<br />
[[File:4ev.jpg|1000px|none]]<br />
<br />
Each event contains a frame preview, information about <strong>Name, List, Camera, Gender, Age, Mask, Date, and Message.</strong><br><br />
<br />
To view a full-size frame of the desired event, click on the <strong>View</strong> button in the Frame column if you use a list view mode,<br><br />
<br />
[[File:9ev.jpg|1000px|none]]<br />
<br />
or click on the frame preview if you use a grid view mode.<br><br />
<br />
[[File:8ev.jpg|1000px|none]]<br />
<br />
Press "+" to <strong>Zoom</strong> in or "-" to <strong>Zoom</strong> out the frame. Press "~" to return the frame to the default size.<br><br />
<br />
[[File:5ev.jpg|1000px|none]]<br />
<br />
If desired, it is possible to save the image by pressing the Save Image button.<br><br />
<br />
<strong>Personal Information</strong><br><br />
<br />
To view more complex personal information about a specific person, click on the person's name.<br><br />
<br />
[[File:7ev.jpg|1000px|none]]<br />
<br />
To <strong>Edit or Delete</strong> personal data, click on the corresponding icon.<br><br />
<br />
== Files Search <br> ==<br />
If you have run analytics with a <strong>video file</strong> instead of the video stream, you can view the search results in the <strong>Files Search</strong> section of the <strong>Face Recognition</strong> module.<br />
<br />
[[File:FS.png|1000px|none]]<br />
<br />
<strong>Filter</strong><br><br />
<strong>Filter fields </strong> are located at the top of the screen.<br><br />
<br />
[[File:2FS.jpg|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Filter fields</th><br />
<th>Parameter</th><br />
</tr><br />
<tr><br />
<td>Start, min</td><br />
<td>Fill in the start point of a video stream in minutes.</td><br />
</tr><br />
<tr><br />
<td>End, min</td><br />
<td>Fill in the endpoint of a video stream in minutes.</td><br />
</tr><br />
<tr><br />
<td>Cameras</td><br />
<td>You can choose the required file name from the drop-down list.</td><br />
</tr><br />
</table><br />
<br />
Enter <strong>required parameters</strong> and press <strong>Find</strong> to show search results. Press <strong>Reset</strong> to clean the entry fields.<br><br />
<br />
<strong>Search Results</strong><br><br />
Search results are displayed in the table below.<br><br />
<br />
[[File:3FS.jpg|1000px|none]]<br />
<br />
If you want the results displayed in a grid mode click on the icon in the upper right corner of the page.<br><br />
<br />
[[File:4FS.jpg|1000px|none]]<br />
<br />
To return to list view mode click the appropriate icon in the upper right corner again.<br><br />
<br />
[[File:5FS.jpg|1000px|none]]<br />
<br />
<strong>Adding Person to List</strong><br><br />
If the person is not on the list, but it is necessary to add the person, press the <strong>Add to List</strong> button.<br><br />
<br />
[[File:6FS.jpg|1000px|none]]<br />
<br />
The following window will be opened.<br><br />
<br />
[[File:7FS.jpg|1000px|none]]<br />
<br />
To add a person enter a full name, notes and also select one of the existing lists. When fields are filled in click on the <strong>Save</strong> button to add a person to the list.<br><br />
<br />
<strong>Frame View</strong><br />
To enlarge the picture in recognized face record, press an icon of Zoom [[File:Zoom.png|40px]]<br><br />
<br />
[[File:8FS.jpg|1000px|none]]<br />
<br />
It is possible to save an image with a recognized face by clicking on the <strong>Save Image</strong> button.<br><br />
<br />
[[File:10FS.png|1000px|none]]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Smart_Tracking_VCA&diff=1015VCloud.ai Smart Tracking VCA2023-11-13T19:30:02Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><strong>Smart Tracking System – Smart Search Module</strong><br />
<br />
== Main functionality <br> ==<br />
• Search and detection of people from photographs from the base of captured frames in real-time.<br><br />
• View the locations and movements of wanted people.<br><br />
• Search and identification of people based on their special signs.<br><br />
• Determination of additional information: gender, age, features of appearance, and clothing.<br><br />
• Data storage and transmission.<br />
<br />
== Product Description <br> == <br />
The <strong>Smart Tracking System</strong> module is designed for searching people in the video surveillance area, as well as intelligent search, taking into account special signs.<br />
<strong>The Smart Tracking System Module can be used for:</strong><br><br />
• Crime prevention;<br><br />
• Creation of security systems for schools, kindergartens, educational institutions;<br><br />
• Control of space and events at train stations and airports;<br><br />
• Controlling customers in stores.<br><br />
<br />
<strong>Basic data used by the Smart Tracking System module:</strong><br />
• Recording people in a video stream on city streets, in a crowd, or indoors.<br><br />
• Data analysis and selection of frames with people from the video stream received from surveillance cameras.<br><br />
• Collection of photo materials with information about the location, time of fixation, and special features.<br><br />
<br />
<strong>System Requirements</strong><br />
It is necessary to have the minimum system requirements for one video stream for the Smart Tracking System module installation on GPU as in the table below.<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Recommended value</th><br />
</tr><br />
<tr><br />
<td>CPU</td><br />
<td>Intel Core i5-5575 or higher</td><br />
</tr><br />
<tr><br />
<td>RAM</td><br />
<td>2 GB RAM</td><br />
</tr><br />
<tr><br />
<td>GPU</td><br />
<td>NVIDIA 1030</td><br />
</tr><br />
<tr><br />
<td>Places for archive</td><br />
<td>up to 3GB per day (~4.5k detections)</td><br />
</tr><br />
<tr><br />
<td>Operating system</td><br />
<td>Ubuntu 20.04</td><br />
</tr><br />
</table><br />
<br />
== Analytics <br> == <br />
In order to open the Smart Tracking System analytics, select <strong>Smart Tracking System</strong> in the left menu and pass to the <strong>Analytics</strong> section.<br />
<br />
[[File:ST1.png|1000px|none]]<br />
<br />
In the <strong>Analytics</strong> section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, or delete analytics. <br><br />
There is a <strong>search field</strong> at the top of the page. Here you can filter analytics by the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Analytics name or part of a name can be entered in this field</td><br />
</tr><br />
<tr><br />
<td>Status</td><br />
<td>Select the Analytics status from the drop-down list - All, Active, or Stopped</td><br />
</tr><br />
</table><br />
<br />
To start the search click on the <strong>Search</strong> button. To clear the fields click on the <strong>Reset</strong> button.<br><br />
<br />
[[File:ST13.png|1000px|none]]<br />
<br />
The list of analytics is shown in the table below.<br><br />
<strong>Analytics Adding</strong><br><br />
To add a new <strong>Smart Tracking</strong> System analytics, click <strong>Add Analytics</strong> in the upper right corner of the page.<br><br />
<br />
[[File:ST14.png|1000px|none]]<br />
<br />
The Smart Tracking System analytics setup process consists of <strong>3 Steps.</strong><br><br />
<br />
<strong>Step 1 - General</strong><br><br />
<br />
[[File:ST15.png|1000px|none]]<br />
<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
<br />
[[File:ST16.png|1000px|none]]<br />
<br />
You can also enter the part of the camera name in the <strong>Search</strong> field to find the necessary video stream faster.<br><br />
<br />
[[File:ST17.png|1000px|none]]<br />
<br />
On the right side of the window, you can see the <strong>video stream preview</strong> and information about <strong>Camera</strong> name and <strong>Address, Time Zone, Resolution, Codec,</strong> and <strong>Type.</strong><br><br />
<br />
[[File:ST5.png|1000px|none]]<br />
<br />
When the video stream is selected press the <strong>Set Video Stream</strong> button.<br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition.<br> <br />
It is possible if a video stream was selected. <br><br />
To add analytics it is necessary to set up the following parameters: <br><br />
<table><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Notification Detect Delay</td><br />
<td>The frequency with which the system will scan objects. Possible range from 1 to 60 sec</td><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which the system will scan objects</td><br />
</tr><br />
</table><br />
<br />
Then it is necessary to place a <strong>tracking area.</strong><br><br />
Move the white and red markers to line up the desired area.<br><br />
<br />
[[File:ST18.png|1000px|none]]<br />
<br />
Tracking analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:ST19.png|1000px|none]]<br />
<br />
To create a new area from scratch, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one.<br><br />
<br />
[[File:ST20.png|1000px|none]]<br />
<br />
To pass to the next step, click on the <strong>Next</strong> button in the upper right corner of the page.<br><br />
<br />
[[File:ST21.png|1000px|none]]<br />
<br />
<strong>Step 2 – Hardware</strong><br><br />
<br />
[[File:ST22.png|1000px|none]]<br />
<br />
Now it is time to customize <strong>Hardware options</strong>. System users can change the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<tr>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</tr><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
When all necessary parameters are selected, go forward to the last step by clicking on the Next button in the upper right corner of the page.<br><br />
<strong>Step 3 - Notifications</strong><br><br />
Finally, it is possible to customize <strong>Notifications.</strong><br><br />
<br />
[[File:ST23.png|1000px|none]]<br />
<br />
For this purpose check the box next to <strong>Send events to Event Manager.</strong> The system will send all notifications to the <strong>Event Manager</strong> and then to external resources.<br><br />
<br />
[[File:ST24.png|1000px|none]]<br />
<br />
Then it is necessary to fill in the following fields:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
<br />
To add more parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:ST254.png|1000px|none]]<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:ST26.png|1000px|none]]<br />
<br />
If you want to make changes to previous steps, click on the <strong>Back</strong> button in the upper right corner of the page.<br><br />
<br />
[[File:ST27.png|1000px|none]]<br />
<br />
When the analytics setup is complete, click on the <strong>Save</strong> button in the upper right corner of the page to save changes and create the analytics.<br><br />
<br />
[[File:ST28.png|1000px|none]]<br />
<br />
<strong>Analytics Editing</strong><br><br />
<br />
To open the Smart Tracking System analytics editing window, click the <strong>Edit</strong> button on the right side of the analytics record.<br><br />
<br />
[[File:ST6.png|1000px|none]]<br />
<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is <strong>Active</strong> at the moment, it is necessary to <strong>disable</strong> it by clicking on the <strong>Stop Analytics</strong> button in the upper right corner of the editor page.<br><br />
<br />
[[File:ST29.png|1000px|none]]<br />
<br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens.<br> Click <strong>Yes</strong> to confirm the analytics disable or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:ST30.png|1000px|none]]<br />
<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 3 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General, Hardware,</strong> and <strong>Notifications.</strong> The <strong>General</strong> tab opens first by default.<br><br />
The current tab is always <strong>highlighted.</strong> You can switch among them by clicking on their names.<br><br />
<br />
[[File:ST31.png|1000px|none]]<br />
<br />
<strong>General Tab</strong><br><br />
At the <strong>General</strong> tab it is possible to edit the following parameters:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Notification Detect Delay</td><br />
<td>The frequency with which the system will scan objects. Possible range from 1 to 60 sec</td><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which the system will scan objects</td><br />
</tr><br />
</table><br />
<br />
Then it is possible to edit a <strong>tracking area.</strong><br><br />
Move the white and red markers to line up the desired area.<br><br />
<br />
[[File:ST32.png|1000px|none]]<br />
<br />
Tracking analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
<br />
[[File:ST33.png|1000px|none]]<br />
<br />
To create a new area from the beginning, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one.<br><br />
<br />
[[File:ST34.png|1000px|none]]<br />
<br />
<strong>Hardware Tab</strong><br><br />
At the <strong>Hardware</strong> tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Hardware</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
<br />
[[File:ST35.png|1000px|none]]<br />
<br />
<strong>Notifications Tab</strong><br><br />
At the <strong>Notifications</strong> tab it is possible to edit values in the following fields:<br><br />
<table border="1"><br />
<tr><br />
<td>Events</td><br />
<td>Select the event for which notifications will be sent from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Extra Options</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter and value fields. </td><br />
</tr><br />
</table><br />
<br />
To add parameters, click on the <strong>Add Options</strong> button.<br><br />
<br />
[[File:ST36.png|1000px|none]]<br />
<br />
<br />
To remove parameters, click on the <strong>Delete</strong> icon.<br><br />
<br />
[[File:ST37.png|1000px|none]]<br />
<br />
When the analytics editing is complete, click on the <strong>Save</strong> button in the right upper corner of the editor page to save changes.<br><br />
<br />
[[File:ST38.png|1000px|none]]<br />
<br />
<strong>Analytics Start and Stop</strong><br><br />
To start the <strong>Smart Tracking System</strong> analytics, click on the <strong>Start</strong> button on the right side of the record. To stop the analytics, click on the <strong>Stop</strong> button.<br><br />
<br />
[[File:ST7.png|1000px|none]]<br />
<br />
When you click on the Stop button, the confirmation window opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action.<br><br />
<br />
[[File:ST39.png|1000px|none]]<br />
<br />
<strong>Analytics Deletion</strong><br><br />
To delete the <strong>Smart Tracking System</strong> analytics, click on the <strong>Delete</strong> icon on the right side of the record.<br><br />
<br />
[[File:ST8.png|1000px|none]]<br />
<br />
In the following window, click <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
<br />
[[File:ST40.png|1000px|none]]<br />
<br />
== Search <br> ==<br />
<strong>Search Parameters</strong><br><br />
In order to view the detection archive, select the <strong>Smart Tracking System</strong> module in the menu on the left and then select the <strong>Search</strong> section.<br><br />
<br />
[[File:ST41.png|1000px|none]]<br />
<br />
Search fields are at the top of the screen. <br><br />
<br />
[[File:ST42.png|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which it is necessary to perform the search</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select the cameras on which the search should be performed</td><br />
</tr><br />
</table><br />
<br />
<br />
Click on the <strong>Search</strong> button to display the search results. Click on the <strong>Reset</strong> button to clear input fields.<br><br />
<br />
[[File:ST43.png|1000px|none]]<br />
<br />
<strong>Search Results</strong><br><br />
Search results are displayed as tiles in the middle of the page.<br><br />
To view the location and direction of the camera, click on the Location icon<br><br />
<br />
[[File:ST44.png|1000px|none]]<br />
<br />
When you click on the <strong>cropped frame</strong> inside any tile, the same frame with a bigger scale appears in the separate block on the right side of the page. This block also contains the <strong>Camera</strong> name, <strong>Date,</strong> and <strong>Time</strong> of detection.<br><br />
All noticed objects in the area are highlighted with <strong>green rectangles</strong>, and the object from the selected frame is highlighted in <strong>red.</strong><br><br />
<br />
[[File:ST45.png|1000px|none]]<br />
<br />
If you want to look closer at the detected object, click on the <strong>Expand</strong> button.<br><br />
<br />
[[File:ST46.png|1000px|none]]<br />
<br />
You can download the image by pressing the <strong>Save Image</strong> button if desired.<br><br />
<br />
[[File:ST47.png|1000px|none]]<br />
<br />
<strong>Particular Search</strong><br><br />
For a more detailed search, click on the Loupe icon in the upper right corner of the desired cropped frame.<br><br />
<br />
[[File:ST48.png|1000px|none]]<br />
<br />
In the following window, you can proceed to search with more particular parameters.<br><br />
<br />
[[File:ST49.png|1000px|none]]<br />
<br />
Search fields are located at the top of the page.<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</td><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which it is necessary to perform the search</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select the cameras on which the search should be performed</td><br />
</tr><br />
<tr><br />
<td>Limit</td><br />
<td>Set the number of displayed frames</td><br />
</tr><br />
<tr><br />
<td>Confidence</td><br />
<td>Set the percentage of matching the search frames to the original frame</td><br />
</tr><br />
</table><br />
<br />
[[File:ST50.png|1000px|none]]<br />
<br />
Click <strong>Search</strong> to display the search results. Click <strong>Reset</strong> to clear input fields.<br><br />
You can combine the frames you want to improve the search quality. Then the search will be based on several frames and its results will be more complete. To do this, click on the Add to Search button under the required frames.<br><br />
<br />
[[File:ST51.png|1000px|none]]<br />
<br />
Click <strong>Search</strong> to display the search results.<br><br />
To <strong>cancel merging</strong>, click on the <strong>Remove from Search</strong> button under inappropriate frames.<br><br />
<br />
[[File:ST52.png|1000px|none]]<br />
<br />
If you want to look closer at the detected object, click on the <strong>Expand</strong> button.<br><br />
<br />
[[File:ST53.png|1000px|none]]<br />
<br />
You can download the image by pressing the <strong>Save Image</strong> button if desired.<br><br />
<br />
[[File:ST47.png|1000px|none]]<br />
<br />
== Attribute Search <br> ==<br />
In order to view the detection archive, select the <strong>Smart Tracking System</strong> module in the left menu and then select the <strong>Attribute Search</strong> section.<br><br />
<br />
[[File:ST9.png|1000px|none]]<br />
<br />
<strong>Search by Special Signs</strong><br><br />
Search fields are located at the top of the page.<br><br />
<br />
[[File:ST55.png|1000px|none]]<br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Hat</td><br />
<td>The presence or absence of a headdress (Yes/No)</td><br />
</tr><br />
<tr><br />
<td>Hair Length</td><br />
<td>Short or long hair (Short/Long)</td><br />
</tr><br />
<tr><br />
<td>Top</td><br />
<td>Choosing the color of the top from the offered list (Undefined/Black/Red etc.)</td><br />
</tr><br />
<tr><br />
<td>Top Length</td><br />
<td>Choosing short or long tops (Short/Long)</td><br />
</tr><br />
<tr><br />
<td>Bag</td><br />
<td>Backpack or bag presence (No/Bag/Backpack)</td><br />
</tr><br />
<tr><br />
<td>Bottom</td><br />
<td>Choosing the bottoms color from the offered list (Undefined/White/Green etc.)</td><br />
</tr><br />
<tr><br />
<td>Bottom Length</td><br />
<td>Choosing short or long bottoms (Short/Long)</td><br />
</tr><br />
<tr><br />
<td>Bottom Clothes</td><br />
<td>Choosing the type of bottoms (Dress/Pants)</td><br />
</tr><br />
<tr><br />
<td>Age</td><br />
<td>Choosing an approximate age (Young/Teen/Adult/Old)</td><br />
</tr><br />
<tr><br />
<td>Gender</td><br />
<td>Gender selection (Male/Female)</td><br />
</tr><br />
</table><br />
<br />
Click <strong>Search</strong> to display the attribute search results. Click <strong>Reset</strong> to clear the input fields.<br><br />
<br />
[[File:ST56.png|1000px|none]]<br />
<br />
<strong>Search Results</strong><br><br />
Search results are displayed as tiles in the middle of the page.<br><br />
To view the location and direction of the camera, click on the <strong>Location</strong> icon.<br><br />
<br />
[[File:S57.png|1000px|none]]<br />
<br />
When you click on the <strong>cropped frame</strong> inside any tile, the same frame with a bigger scale appears in the separate block on the right side of the page. <br />
This block also contains fields with information about recognized appearance attributes: <strong>Age, Gender, Bag, Hat, Hair</strong> as well as clothes <strong>Bottom</strong> and <strong>Top</strong> parameters.<br><br />
All noticed objects in the area are highlighted with <strong>green rectangles</strong>, and the object from the selected frame is highlighted in <strong>red</strong>.<br><br />
<br />
[[File:S58.png|1000px|none]]<br />
<br />
If you want to look closer at the detected object, click on the <strong>Expand</strong> button.<br><br />
<br />
[[File:S59.png|1000px|none]]<br />
<br />
You can download the image by pressing the <strong>Save Image</strong> button if desired.<br><br />
<br />
[[File:ST47.png|1000px|none]]<br />
<br />
<strong>Particular Search</strong><br><br />
For a more detailed search, click on the <strong>Loupe</strong> icon in the upper right corner of the desired cropped frame.<br><br />
<br />
[[File:ST61.png|1000px|none]]<br />
<br />
In the following window, you can proceed to search with more particular parameters.<br><br />
<br />
[[File:ST49.png|1000px|none]]<br />
<br />
Search fields are located at the top of the page.<br><br />
<br />
<table border="1"><br />
<tr><br />
<td>Search Frame</td><br />
<td>Parameters</td><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which it is necessary to perform the search</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Select the cameras on which the search should be performed</td><br />
</tr><br />
<tr><br />
<td>Limit</td><br />
<td>Set the number of displayed frames</td><br />
</tr><br />
<tr><br />
<td>Confidence</td><br />
<td>Set the percentage of matching the search frames to the original frame</td><br />
</tr><br />
</table><br />
<br />
Click <strong>Search</strong> to display the search results. Click <strong>Reset</strong> to clear input fields.<br><br />
<br />
[[File:ST50.png|1000px|none]]<br />
<br />
You can combine the frames you want to improve the search quality. Then the search will be based on several frames and its results will be more complete. To do this, click on the Add to Search button under the required frames.<br />
<br />
[[File:ST51.png|1000px|none]]<br />
<br />
Click <strong>Search</strong> to display the search results.<br><br />
<br />
To <strong>cancel merging</strong>, click on the <strong>Remove from Search</strong> button under inappropriate frames.<br><br />
<br />
[[File:ST52.png|1000px|none]]<br />
<br />
If you want to look closer at the detected object, click on the <strong>Expand</strong> button.<br><br />
<br />
[[File:ST53.png|1000px|none]]<br />
<br />
You can download the image by pressing the <strong>Save Image</strong> button if desired.<br><br />
<br />
[[File:ST47.png|1000px|none]]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Object_Detection_VCA&diff=1014VCloud.ai Object Detection VCA2023-11-13T19:29:39Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><strong>Object Detection - Module Object Detection</strong><br />
<br />
== Main functionality: <br> == <br />
<br />
• Various complexity objects detection (people, vehicles, animals, things<br><br />
• Control the time and type of object that are in the zone.<br><br />
• Location rules violations detection<br><br />
• Photo recording and notifications about rules violations sending<br><br />
• Storing of collected data on parking mode violators in the database<br><br />
• Ability to receive notifications about events in Telegram, SMS, or email<br><br />
<br />
== Product Description <br> ==<br />
The Object Detection module is intended for notification of rules violation for objects staying in the objects detection zone (person, animal, vehicle, item).<br />
Notifications sending is performed depending on the time interval and set rule. Notifications are sent when the object is staying in the zone above the specified time period if there is no object in the zone above the specified period, or an object missing in the zone within a certain time frame.<br><br />
<strong>System requirements<br></strong><br />
It is necessary to have the minimum system requirements for one video stream for Object detection module installation on GPU as in the table below.<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Recommended value</th><br />
</tr><br />
<tr><br />
<td>CPU</td><br />
<td>Intel Core i5-5575 or higher</td><br />
</tr><br />
<tr><br />
<td>RAM</td><br />
<td>3 GB RAM</td><br />
</tr><br />
<tr><br />
<td>GPU</td><br />
<td>NVIDIA 1030</td><br />
</tr><br />
<tr><br />
<td>Places for archive</td><br />
<td>up to 3 GB per day (~4.5 k detections)</td><br />
</tr><br />
<tr><br />
<td>Operating system</td><br />
<td>Ubuntu 20.04</td><br />
</tr><br />
</table><br />
<br />
== Analytics <br> == <br />
<br />
To view object detection analytics, select the item <strong>Object Detection</strong> in the menu on the left and go to the Analytics section.<br><br />
<br />
[[File:ImageOD1.png|1000px|none]]<br />
<br />
<strong>Analytics adding</strong><br><br />
The page displays a list of analytics with the status and the ability to edit, add, or delete analytics. In order to add a new Object Detection analytics, press <strong>Add Analytics</strong> in the upper-right corner of the screen.<br />
<br />
[[File:Adding_analytics.png|1000px|none]]<br />
<br />
When press <strong><Add Analytics</strong> the form of analytic adding is opened.<br />
<br />
[[File:Image.png|1000px|none]]<br />
<br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition. It is possible if a video stream was selected. <br><br />
To add analytics it is necessary to fill the following fields: <br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Video</td><br />
<td>Press in the field and select the camera name from a drop-down list. Videostream will be used to create analytics.</td><br />
</tr><br />
<tr><br />
<td>Send notifications if an object is detected</td><br />
<td>To send notifications about detected faces to external resources, check the box. Select an event with parameters for notifications sending to third-party resources.</td><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select an event from the drop-down list. Notifications will be sent to the services specified in the event for this event</td><br />
</tr><br />
<tr><br />
<td>Additional parameters</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter fields. To add parameters, press the "+" button. To remove parameters, press " -".</td><br />
</tr><br />
</table><br />
<br />
<strong>Adding of the object detection area</strong><br><br />
• Add a camera to Video Stream<br><br />
• Frame from the added camera will appear below Video Stream<br><br />
• Add an object definition area.<br><br />
<br />
a) When you press the frame, a point appears. When you move the mouse cursor, a line appears. When you press on the frame again, a second point appears that is connected by a line to the first point. To create an area, it is necessary to connect three or more points. To close the region, it is necessary to press twice with the mouse in the same place.<br><br />
<br />
[[File:Image2.png|1000px|none]]<br />
<br />
The created area displays starting points that are shaped like white squares and points in the middle of lines that are shaped like red circles. If you hold down the left mouse button on the white point, it is possible to change the zone shape by moving the mouse cursor.<br />
When you hold the red point, it is possible to stretch or compress the area strictly along the line where the point is located. If press on the red point twice with the left mouse button, the red point will turn white.<br><br />
b) A form will appear on the right side of the screen with images of objects, <strong>Add notification</strong> button, with time field, waiting parameter, and notification marker. To create the analytics, just select the object types and press <strong>Save.</strong><br><br />
<br />
[[File:Image3.png|500px|none]]<br />
<br />
<strong>Filling of Form Fields:</strong><br />
- Field with a time period. This field is required for setting the time period. Notifications will be sent for the specified period. If the described action does not occur during the specified period, the system will not receive notifications.<br><br />
<br />
[[File:Image4.png|500px|none]]<br />
<br />
- Field with the waiting parameter. Value in this field is set depending on the marker. For Absent and At least once, this field specifies the minimum value of the allowed object detection. If the object is present for less than the specified time in the zone, the notification will not be sent. For <strong>Present</strong>, this field sets the minimum value for the allowed absence of Object Detection. If the object is not detected for less than the specified time, notifications will not be sent. Set numeric value is the number of seconds.<br><br />
<br />
[[File:OD7.png|500px|none]]<br />
<br />
- Field with notification marker. There are three markers: <strong>Present, Absent,</strong> and <strong>At least</strong> once. When setting Absent, notifications will be sent if the Object Detection is set in the zone for a certain time. When you set the Present marker, notifications will be sent if the object is not in the detection zone. With a marker <strong>At least once</strong>, notifications will be sent if the object is not in the zone during the period specified in the time field.<br><br />
<br />
[[File:OD6.png|500px|none]]<br />
<br />
You can create more objects detection areas by repeating points a) and b).<br><br />
To create the analytics, press <strong>Save.</strong><br><br />
<strong>Analytics editing</strong><br><br />
To open the object detection editing window, press the edit icon on the right side of object detection analytics in a zone.<br><br />
<br />
[[File:OD8.png|1000px|none]]<br />
<br />
When you press the edit icon, the object detection analytics editing form is opened.<br><br />
<br />
[[File:OD9.png|1000px|none]]<br />
<br />
It is possible to change the analytics if it is not running.<br><br />
In order to run analytics, press <strong>Start</strong>. To stop analytics, press <strong>Stop.</strong><br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition. It is possible if a video stream was selected.<br><br />
System user can change the following fields:<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Send notifications if object is detected </td><br />
<td>To send notifications about detected faces to external resources, check the box. Select an event with parameters for notifications sending to third-party resources.</td><br />
</tr><br />
<tr><br />
<td>Events</td><br />
<td>Select an event from the drop-down list. Notifications will be sent to the services specified in the event for this event</td><br />
</tr><br />
<tr><br />
<td>Additional parameters</td><br />
<td>If necessary, it is possible to add additional parameters for further use when event creating. Fill in the parameter fields. To add parameters, press the "+" button. To remove parameters, press " -".</td><br />
</tr><br />
</table><br />
<strong>Changing or Adding the Object Detection Area</strong><br><br />
• Change or add the object detection area.<br><br />
a) When you press the frame, a point appears. When you move the mouse cursor, a line appears. When you press on the frame again, a second point appears that is connected by a line to the first point. To create an area, it is necessary to connect three or more points. To close the region, it is necessary to press twice with the mouse in the same place.<br><br />
<br />
[[File:OD10.png|1000px|none]]<br />
<br />
The created area displays starting points that are shaped like white squares and points in the middle of lines that are shaped like red circles. If you hold down the left mouse button on the white point, it is possible to change the zone shape by moving the mouse cursor. When you hold the red point, it is possible to stretch or compress the area strictly along the line where the point is located. If press on the red point twice with the left mouse button, the red point will turn white.<br><br />
b) in the right part of the screen it is possible to edit or add a form with objects images. To create the analytics, just select the object types and press <strong>Save</strong>.<br><br />
[[File:OD11.png|500px|none]]<br />
<br />
<strong>Filling of Form Fields:</strong><br><br />
- Field with a time period. This field is required for setting the time period. Notifications will be sent for the specified period. If the described action does not occur during the specified period, the system will not receive notifications.<br><br />
<br />
[[File:Image4.png|500px|none]]<br />
<br />
- Field with the waiting parameter. Value in this field is set depending on the marker. For Absent and At least once, this field specifies the minimum value of the allowed object detection. If the object is present for less than the specified time in the zone, the notification will not be sent. For Present, this field sets the minimum value for the allowed absence of Object Detection. If the object is not detected for less than the specified time, notifications will not be sent. Set numeric value is the number of seconds.<br><br />
<br />
[[File:OD7.png|500px|none]]<br />
<br />
- Field with notification marker. There are three markers: Present, Absent and At least once. When setting Absent, notifications will be sent if the Object Detection is set in the zone for a certain time. When you set the Present marker, notifications will be sent if the object is not in the detection zone. With a marker At least once, notifications will be sent if the object is not in the zone during the period specified in the time field.<br><br />
<br />
[[File:OD6.png|500px|none]]<br />
<br />
You can create more objects detection areas by repeating points a) and b).<br><br />
Click on the <strong>Save</strong> button to save changes.<br><br />
<strong>Analytics viewing</strong><br><br />
To <strong>view</strong> Object detection analytics, press the <strong>View</strong> icon on the right side of the Videostream field.<br><br />
<br />
[[File:OD15.png|1000px|none]]<br />
<br />
It is possible to view only <strong>active</strong> video streams.<br><br />
In the opened window you can view the video from the camera in <strong>real-time.</strong><br><br />
<br />
Pic<br />
<br />
There are records of <strong>detected objects</strong> in the table below, which includes <strong>Camera, Detection Time</strong>, and <strong>Accepted by</strong> columns.<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Column name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Here you can look at the camera location and a frame of a detected object</td><br />
</tr><br />
<tr><br />
<td>Detection Time</td><br />
<td>The time the camera detects an object</td><br />
</tr><br />
<tr><br />
<td>Accepted by</td><br />
<td>Press on the ACCEPT button to accept the notification. After that, an username will appear in this field instead of the button</td><br />
</tr><br />
</table><br />
<br />
Press on the <strong>Frame</strong> icon to look closer at the detected object.<br><br />
<br />
Pic<br />
<br />
To download an image of a detected object, press <strong>Save image</strong>.<br><br />
<br />
Pic<br />
<br />
<strong>Analytics search</strong><br><br />
The search field is located at the top of the <strong>Analytics</strong> page.<br><br />
<br />
Pic<br />
<br />
To find the necessary analytics, enter the name or status of analytics.<br><br />
To start the search press the <strong>Search button.</strong> To clear the settings, press <strong>Reset.</strong><br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Search Field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>It is possible to enter video stream name or part of the name in this field</td><br />
</tr><br />
<tr><br />
<td>Status</td><br />
<td>Select the Analytics status from the drop-down list</td><br />
</tr><br />
</table><br />
<br />
<strong>Analytics start and stop</strong><br><br />
To start analytics, press the <strong>Start</strong> button on the right side with the analytics name field. To stop analytics, press the <strong>Stop</strong> button.<br><br />
<br />
Pic<br />
<br />
<strong>Analytics deletion</strong><br><br />
To delete analytics, press the delete icon on the right side of the analytics field.<br><br />
<br />
Pic<br />
<br />
In opened window press <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
<br />
== Events<br> == <br />
This section is intended for viewing the history of notifications about detected (missing) objects (people, animals, vehicles, things).<br><br />
<br />
Pic<br />
<br />
<strong>Search for notifications and events</strong><br><br />
There is a search field at the top of the screen<br><br />
<br />
Pic<br />
<br />
<table border="1"><br />
<tr><br />
<th>Search field</th><br />
<th>Parameters</th><br />
</tr><br />
<tr><br />
<td>Period</td><br />
<td>Press on the field and select the desired time period.</td><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Press on the field and select the camera you want to receive notifications for from the drop-down list.</td><br />
</tr><br />
<tr><br />
<td>Object type</td><br />
<td>Press on the field and select the desired object type.</td><br />
</tr><br />
</table><br />
<br />
Press Search to display the search results. Press <strong>Reset</strong> to clear the input fields.<br><br />
To view the location and direction of the camera, press Pic<br><br />
<br />
<br />
Pic<br />
<br />
To accept notifications, press <strong>Accept</strong> on the right side of the record table.<br><br />
<strong>Working with notification records</strong><br><br />
To go to the view in the record list format, press the icon in the upper-right corner.<br><br />
<br />
Pic<br />
<br />
To return to the grid type, press the icon<br><br />
<br />
Pic<br />
<br />
To enlarge a frame with a violation, press the photo of interest (when using the grid view) or press on the icon Pic to enlarge the frame when using the list view.<br><br />
<br />
Pic<br />
<br />
To save an image, press <strong>Save Image.</strong><br></div>Vcloudaihttps://docs.vcloud.ai/index.php?title=VCloud.ai_Heat_Map_VCA&diff=1013VCloud.ai Heat Map VCA2023-11-13T19:29:19Z<p>Vcloudai: /* Product Description */</p>
<hr />
<div><strong>Module of Heat Map</strong><br />
<br />
== Main functionality <br> ==<br />
Build the heat map of traffic density in a chosen video stream for a certain period.<br><br />
<br />
== Product Description <br> ==<br />
<br />
The <strong>Heat Map</strong> module is intended for a visual display of traffic density in the chosen video stream. The module provides reports on hours, days, weeks, months.<br><br />
<br />
<strong>System Requirements</strong><br><br />
It is necessary to have the minimum system requirements for one video stream for Heat Map module installation on GPU as in the table below.<br><br />
<br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Recommended value</th><br />
</tr><br />
<tr><br />
<td>CPU</td><br />
<td>Intel Core i5-5575 or higher</td><br />
</tr><br />
<tr><br />
<td>RAM</td><br />
<td>3 GB RAM</td><br />
</tr><br />
<tr><br />
<td>GPU</td><br />
<td>NVIDIA 1030</td><br />
</tr><br />
<tr><br />
<td>Places for Archive</td><br />
<td>Up to 3 GB per day (~ 4.5k detections)</td><br />
</tr><br />
<tr><br />
<td>Operating System</td><br />
<td>Ubuntu 20.04</td><br />
</tr><br />
</table><br />
<br />
== Analytics <br> ==<br />
<br />
To open the Heat Map analytics select <strong>Heat Map</strong> in the left menu and pass into the <strong>Analytics</strong> section.<br><br />
<br />
[[File:HM1.png|1000px|none]]<br />
In the <strong>Analytics</strong> section, you can customize analytics. The page displays a list of analytics with the status and the ability to add, edit, or delete analytics. <br />
There is a <strong>search field</strong> at the top of the page. Here you can filter analytics by the following parameters:<br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Camera</td><br />
<td>Analytics name or part of a name can be entered in this field</td><br />
</tr><br />
<tr><br />
<td>Status</td><br />
<td>Select the Analytics status from the drop-down list - All, Active, or Stopped</td><br />
</tr><br />
</table><br />
To start the search click on the <strong>Search</strong> button. To clear the fields click on the <strong>Reset</strong> button.<br><br />
The list of analytics is shown in the table below.<br />
<strong>Analytics Adding</strong><br><br />
In order to add new Heat Map analytics, press <strong>Add Analytics</strong> in the upper right corner of the page.<br><br />
[[File:HM2.png|1000px|none]]<br />
The Heat Map analytics setup process consists of <strong>2 Steps.</strong><br><br />
<strong>Step 1 - General</strong><br><br />
[[File:HM3.png|1000px|none]]<br />
First of all, it is necessary to select a video stream. Click on the <strong>Video</strong> field and select the camera name from a list.<br><br />
[[File:HM4.png|1000px|none]]<br />
You can also enter the part of the camera name in the <strong>Search</strong> field to find the necessary video stream faster. <br><br />
[[File:HM5.png|1000px|none]]<br />
On the right side of the window, you can see the <strong>video stream preview</strong> and information about <strong>Camera</strong> name and <strong>Address, Time Zone, Resolution, Codec,</strong> and <strong>Type</strong>.<br><br />
[[File:HM6.png|1000px|none]]<br />
When the video stream is selected press the <strong>Set Video Stream</strong> button.<br><br />
By pressing the <strong>Update Video Frame</strong> button you can see a frame in real-time in the field of frame addition.<br />
To add analytics it is necessary to set up the following parameter:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Input values</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which the system will make a traffic fixation</td><br />
</tr><br />
</table><br />
Then it is necessary to place a <strong>traffic fixation area</strong>.<br><br />
Move the white and red markers to line up the desired area.<br><br />
[[File:HM7.png|1000px|none]]<br />
The analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
[[File:HM8.png|1000px|none]]<br />
To create a new area from the beginning, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area. The last point should be placed at the same place as the first one.<br><br />
[[File:HM9.png|1000px|none]]<br />
To pass to the next step, click on the Next button in the upper right corner of the page.<br><br />
[[File:HM10.png|1000px|none]]<br />
<strong>Step 2 - Hardware</strong><br><br />
[[File:HM11.png|1000px|none]]<br />
Now it is time to customize <strong>Hardware</strong> options. System users can change the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
When the analytics setup is complete, click on the <strong>Save</strong> button in the upper right corner of the page to save changes and create the analytics.<br><br />
[[File:HM12.png|1000px|none]]<br />
<br />
<strong>Analytics Editing</strong><br><br />
To open the Heat Map analytics editing window, click the <strong>Edit</strong> button on the right side of the analytics record.<br><br />
[[File:HM13.png|1000px|none]]<br />
It is possible to edit the analytics if it is not running.<br><br />
If the analytics is Active at the moment, it is necessary to <strong>disable</strong> it by clicking on the <strong>Stop Analytics</strong> button in the upper right corner of the editor page.<br />
[[File:HM14.png|1000px|none]]<br />
When you click on the <strong>Stop Analytics</strong> button, the Confirmation window opens. Click <strong>Yes</strong> to confirm the analytics disable or click No to cancel the action.<br><br />
[[File:HM15.png|1000px|none]]<br />
Now when the analytics is disabled it is possible to make changes to it.<br><br />
There are 2 tabs of parameters at the top of the page, similar to the steps in creating analytics - <strong>General</strong> and <strong>Hardware</strong>. The <strong>General</strong> tab opens first by default.<br />
The current tab is always <strong>highlighted</strong>. You can switch among them by clicking on their names.<br><br />
[[File:HM16.png|1000px|none]]<br />
<strong>Genetal Tab</strong><br><br />
At the <strong>General</strong> tab it is possible to edit the following parameter:<br><br />
<table border="1"><br />
<tr><br />
<th>Field name</th><br />
<th>Input values</th><br />
</tr><br />
<tr><br />
<td>Time Frame</td><br />
<td>Select the time period for which the system will make a traffic fixation</td><br />
</tr><br />
</table><br />
Then it is possible to edit a <strong>traffic fixation area</strong>.<br><br />
Move the white and red markers to line up the desired area.<br><br />
[[File:HM17.png|1000px|none]]<br />
The analytics will be performed only within the boundaries of the selected area.<br><br />
In order to remove the area, click on the <strong>Delete Rule</strong> button.<br><br />
[[File:HM18.png|1000px|none]]<br />
To create a new area from the beginning, click somewhere inside the frame. Then move the mouse cursor. It will be moved with a red line. Put as many points as is necessary to create the borders of the desired area.<br><br />
[[File:HM19.png|1000px|none]]<br />
The last point should be placed at the same place as the first one.<br><br />
<strong>Hardware Tab</strong><br><br />
At the Hardware tab it is possible to edit the following parameters:<br><br />
<table border="1"><br />
<tr><br />
<th>Parameter</th><br />
<th>Description</th><br />
</tr><br />
<tr><br />
<td>Hardware</td><br />
<td>Select one of the technologies - CPU or GPU acceleration</td><br />
</tr><br />
<tr><br />
<td>Decoding</td><br />
<td>Select the hardware decoder from the drop-down list - CPU, Intel, Nvidia</td><br />
</tr><br />
<tr><br />
<td>Optimization</td><br />
<td>Select the optimization parameter from the drop-down list (for CPU - CPU (no optimization), Open VINO; for GPU - CUDA (no optimization), cuDNN Half (FP16), Tensor RT)</td><br />
</tr><br />
<tr><br />
<td>FPS</td><br />
<td>Enter the desired number of frames per second in the field for detection. The recommended value is 25</td><br />
</tr><br />
</table><br />
[[File:HM20.png|1000px|none]]<br />
When the analytics editing is complete, click on the Save button in the right upper corner of the editor page to save changes.<br><br />
[[File:HM21.png|1000px|none]]<br />
<strong>Analytics Start and Stop</strong><br />
To start the <strong>Heat Map</strong> analytics, click on the <strong>Start</strong> button on the right side of the record. To stop the analytics, click on the <strong>Stop</strong> button.<br><br />
[[File:HM22.png|1000px|none]]<br />
When you click on the <strong>Stop</strong> button, the confirmation window opens. Click <strong>Yes</strong> to confirm or click <strong>No</strong> to cancel the action.<br><br />
[[File:HM23.png|1000px|none]]<br />
<strong>Analytics Deletion</strong><br><br />
To delete the <strong>Heat Map</strong> analytics, click on the <strong>Delete</strong> icon on the right side of the record.<br><br />
[[File:HM24.png|1000px|none]]<br />
In the following window, click <strong>Yes</strong> to confirm the deletion or <strong>No</strong> to cancel the deletion.<br><br />
[[File:HM26.png|1000px|none]]<br />
<br />
== Statistics <br> ==<br />
In order to view the Heat Map statistics select the Heat Map in the left menu and pass to the <strong>Statistics</strong> section.<br><br />
[[File:HM27.png|1000px|none]]<br />
<strong>Statistics Filters</strong><br><br />
To filter statistics it is necessary to set up statistics filters:<br><br />
[[File:HM28.png|1000px|none]]<br />
The first filter allows defining the statistics for a <strong>Day, Week, Month,</strong> or desired <strong>Time Frame.</strong><br><br />
In the second field, it is necessary to select a day for which it is necessary to receive the frames. In case the first field <strong>Day</strong> is selected, frames by hours of this day will be shown. In case <strong>Week</strong> is selected, a calendar week will be shown, which includes the selected day. In case the <strong>Month</strong> is selected, the calendar month including the selected day will be shown.<br><br />
In a third field, it is necessary to select the camera. Frames from the selected camera will be shown.<br><br />
<strong>Day</strong><br><br />
If <strong>Day is selected</strong>, frames that are made for a certain day by hours will be shown.<br><br />
[[File:HM29.png|1000px|none]]<br />
<strong>Week</strong><br><br />
If <strong>Week is selected</strong>, frames that are made for a certain week by days will be shown.<br />
[[File:HM30.png|1000px|none]]<br />
To view a certain frame in <strong>Day</strong> filter (by hours) click on the [[File:Pic.png|30px]] icon over a frame.<br><br />
<strong>Month</strong><br><br />
If <strong>Month is selected</strong>, frames made for a certain month by days will be shown.<br><br />
[[File:HM31.png|1000px|none]]<br />
To view a certain frame in <strong>Day</strong> filter (by hours) click on the [[File:Pic.png|30px]] icon over a frame.<br><br />
<strong>Time Frame</strong><br><br />
When selecting <strong>Time Frame</strong>, one frame for a certain period will be shown. For period determination it is necessary to designate the period for which the traffic density analysis will be made for the chosen camera in the second field.<br><br />
[[File:HM32.png|1000px|none]]<br />
For filtration by camera, time period, and frame time it is necessary to press the <strong>Report</strong> button.<br> <br />
<br />
== Camera Compatibility <br> == <br />
The solution is compatible with all cameras, that return the RTSP stream.<br />
== Camera Installation Requirements <br> == <br />
• Static background<br><br />
• The camera should be well fixed and not shaking<br><br />
• Avoid refocusing and image sharpness changes<br><br />
• There should be no overexposures and glare in the frame<br></div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Change_log&diff=1012Change log2023-10-25T15:57:54Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
<br />
'''v.1.11.00 New features: Zero latency - optional WebRTC protocol support added, video analytics tracking in live stream, scheduled snapshot saving. Bug-fix: HLS stream handling, event filter end date.'''<br />
<br />
==== '''v.1.10.15 New features: PTZ presets and patrolling, Uniview (LightAPI) protocol support added, HLS HTTP/HTTPS stream support added, new icons for layouts. Improvements: HikVision (ISAPI) protocol, live video stream reconnection logic, PTZ user rights.''' ====<br />
<br />
==== v.1.10.9 New features: VCA Object detection configuration added to .ai menu. Archive export improvements and progress indicator. ====<br />
<br />
==== v.1.10.7 New features: Face recognition configuration from .ai menu, Face recognition lists, Attendance and evacuation reports, expiry dates for each face. LPR configuration in .ai menu, LPR lists, export. Crowd detection configuration in .ai menu. Web socket notifications from VCA in Cluebase Alarm Panel ====<br />
<br />
==== v.1.10.3 New features: Maps menu tab added with advanced geo maps and multilayer floor plans. Maps and floor plans now can be a part of layout. Face recognition configuration added to the .ai menu in video windows. ====<br />
<br />
==== v.1.9.12 New features: Videoguard (SIRA) integration. Storage clean up. Click on counters opens reports. Select/deselect all cameras in role creation menu. 14 new features in API (VMS version, live view and playback snapshots, archive export, camera stream selection, user and role CRUD features, etc). Software version update button is now available in Settings->General settings->System information. Localization update. Minor bug fix. ====<br />
<br />
==== v.1.9.10 New features: Camera statuses and search added to camera settings. ====<br />
<br />
==== v.1.9.8 Major improvements of livestreams and archive performance. ====<br />
<br />
==== v.1.9.7 New features: HikVision native protocol (ISAPI) added. Optional alerts upon archive unavailability added. ====<br />
<br />
==== v.1.9.5 New features: Alarm comments. Video stream validation is now optional. Bug fixes. ====<br />
<br />
==== v.1.9.3 New feature: Server time settings and NTP synchronisation. ====<br />
<br />
==== v.1.9.2 New language pack that adds 14 new language support (Chinese, Spanish, Arabic, German, Korean, Thai, Hindi, Urdu, Azerbaijani, Persian, Circassian, Belarusian, Ukrainian and Polish). Desktop app updated to the current UI version. ====<br />
<br />
==== v.1.9.0 New feature: Failover (hot-swap) ====<br />
<br />
==== v.1.8.0 New feature: Object storage integration. ====<br />
<br />
==== v.1.7.4 New features: Branding options for changing logo, title, favicon and logon page image. User name now indicated in the main menu. Timeline rendering optimised for larger archives. ====<br />
<br />
==== v.1.7.2 New features: Clip download link in telegram notification. Archive availability indication in calendar. ====<br />
<br />
==== v.1.7.0 New features: Access control event integration. Human and vehicle counting reports. Bug fixes. ====<br />
<br />
==== v.1.6.2 New features: Camera brand detection in Camera Search. Portuguese localisation. Playback speed indicator now became a button. ====<br />
<br />
==== v.1.6.0 New features: Export and import VMS configuration. Reset configuration to factory defaults. ====<br />
<br />
==== v.1.5.0 New features: Logs - display or download logs. Desktop app for Windows, Mac OS and Linux are now available. User access rights logic improved. ====<br />
<br />
==== v.1.4.7 New features: Camera disconnection notifications. Scheduled stream reload for the web-client. Desktop client support. Minor interface improvements and bug fix. ====<br />
<br />
==== v.1.4.2 Multiserver bugfix. ====<br />
<br />
==== v.1.4.1 New feature: Multiserver functionality. ====<br />
<br />
==== v.1.3.3 Camera stream selection improved. Minor interface improvements and bug fix. ====<br />
<br />
==== v.1.3.2 Drag & Drop Video Windows Re-ordering added. ====<br />
<br />
==== v.1.3.0 New features: Event filter in Alarm Panel. Camera embedded video analytics integration. Improved Storage Settings. On-alarm recording with pre- and post- recording settings. Full screen mode. Object counter. ====<br />
<br />
==== v.1.2.7 New feature: Drag & Drop Layout tabs and Camera list. Minor interface improvements. ====<br />
<br />
==== v.1.2.3 New feature: Cluebase API v.1.0.0. release. ====<br />
<br />
==== v.1.2.2 New features: Tunnelling. Storage limit in GB. ====<br />
<br />
==== v.1.2.0 New features: Embedded AI Human and Vehicle Detector. Instant download of video clips and photos upon alarm notification. Improved RTSP server functionality. Email alerts: Analytics -> Notifications -> Email notifications. ====<br />
<br />
==== v.1.1.9 Improved Video Window Button controls. New Timeline zoom in/out buttons. ====<br />
<br />
==== v.1.1.8 Improved PTZ control interface elements. ====<br />
<br />
==== v.1.1.7 New feature: Settings->General Settings->Video Stream setting. Improved icons in the Alarm Panel. ====<br />
<br />
==== v.1.1.5 Aspect ratio visualisation improvement. ====<br />
<br />
==== v.1.1.3 User interface and localisation improvements. Minor bug fix. ====<br />
<br />
==== v.1.1.2 New feature: Operator Chat in Alarm Notification Panel ====<br />
<br />
==== v.1.1.0 New feature: Connectivity with vCloud.ai VCA - Professional AI Video Analytics System. New Settings->Analytics menu section. Alarm Notification Panel. ====<br />
<br />
==== v.1.0.7 Minor bug fix and interface improvements. ====<br />
<br />
==== v.1.0.0 Full multilingual release of Cluebase VMS by vCloud.ai ====<br />
<br />
==== v.0.8.0 Public Beta 2 Release ====<br />
<br />
==== v.0.7.0 Developer Beta 1 ====</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Change_log&diff=1011Change log2023-09-29T15:39:24Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
<br />
==== '''v.1.10.15 New features: PTZ presets and patrolling, Uniview (LightAPI) protocol support added, HLS HTTP/HTTPS stream support added, new icons for layouts. Improvements: HikVision (ISAPI) protocol, live video stream reconnection logic, PTZ user rights.''' ====<br />
<br />
==== v.1.10.9 New features: VCA Object detection configuration added to .ai menu. Archive export improvements and progress indicator. ====<br />
<br />
==== v.1.10.7 New features: Face recognition configuration from .ai menu, Face recognition lists, Attendance and evacuation reports, expiry dates for each face. LPR configuration in .ai menu, LPR lists, export. Crowd detection configuration in .ai menu. Web socket notifications from VCA in Cluebase Alarm Panel ====<br />
<br />
==== v.1.10.3 New features: Maps menu tab added with advanced geo maps and multilayer floor plans. Maps and floor plans now can be a part of layout. Face recognition configuration added to the .ai menu in video windows. ====<br />
<br />
==== v.1.9.12 New features: Videoguard (SIRA) integration. Storage clean up. Click on counters opens reports. Select/deselect all cameras in role creation menu. 14 new features in API (VMS version, live view and playback snapshots, archive export, camera stream selection, user and role CRUD features, etc). Software version update button is now available in Settings->General settings->System information. Localization update. Minor bug fix. ====<br />
<br />
==== v.1.9.10 New features: Camera statuses and search added to camera settings. ====<br />
<br />
==== v.1.9.8 Major improvements of livestreams and archive performance. ====<br />
<br />
==== v.1.9.7 New features: HikVision native protocol (ISAPI) added. Optional alerts upon archive unavailability added. ====<br />
<br />
==== v.1.9.5 New features: Alarm comments. Video stream validation is now optional. Bug fixes. ====<br />
<br />
==== v.1.9.3 New feature: Server time settings and NTP synchronisation. ====<br />
<br />
==== v.1.9.2 New language pack that adds 14 new language support (Chinese, Spanish, Arabic, German, Korean, Thai, Hindi, Urdu, Azerbaijani, Persian, Circassian, Belarusian, Ukrainian and Polish). Desktop app updated to the current UI version. ====<br />
<br />
==== v.1.9.0 New feature: Failover (hot-swap) ====<br />
<br />
==== v.1.8.0 New feature: Object storage integration. ====<br />
<br />
==== v.1.7.4 New features: Branding options for changing logo, title, favicon and logon page image. User name now indicated in the main menu. Timeline rendering optimised for larger archives. ====<br />
<br />
==== v.1.7.2 New features: Clip download link in telegram notification. Archive availability indication in calendar. ====<br />
<br />
==== v.1.7.0 New features: Access control event integration. Human and vehicle counting reports. Bug fixes. ====<br />
<br />
==== v.1.6.2 New features: Camera brand detection in Camera Search. Portuguese localisation. Playback speed indicator now became a button. ====<br />
<br />
==== v.1.6.0 New features: Export and import VMS configuration. Reset configuration to factory defaults. ====<br />
<br />
==== v.1.5.0 New features: Logs - display or download logs. Desktop app for Windows, Mac OS and Linux are now available. User access rights logic improved. ====<br />
<br />
==== v.1.4.7 New features: Camera disconnection notifications. Scheduled stream reload for the web-client. Desktop client support. Minor interface improvements and bug fix. ====<br />
<br />
==== v.1.4.2 Multiserver bugfix. ====<br />
<br />
==== v.1.4.1 New feature: Multiserver functionality. ====<br />
<br />
==== v.1.3.3 Camera stream selection improved. Minor interface improvements and bug fix. ====<br />
<br />
==== v.1.3.2 Drag & Drop Video Windows Re-ordering added. ====<br />
<br />
==== v.1.3.0 New features: Event filter in Alarm Panel. Camera embedded video analytics integration. Improved Storage Settings. On-alarm recording with pre- and post- recording settings. Full screen mode. Object counter. ====<br />
<br />
==== v.1.2.7 New feature: Drag & Drop Layout tabs and Camera list. Minor interface improvements. ====<br />
<br />
==== v.1.2.3 New feature: Cluebase API v.1.0.0. release. ====<br />
<br />
==== v.1.2.2 New features: Tunnelling. Storage limit in GB. ====<br />
<br />
==== v.1.2.0 New features: Embedded AI Human and Vehicle Detector. Instant download of video clips and photos upon alarm notification. Improved RTSP server functionality. Email alerts: Analytics -> Notifications -> Email notifications. ====<br />
<br />
==== v.1.1.9 Improved Video Window Button controls. New Timeline zoom in/out buttons. ====<br />
<br />
==== v.1.1.8 Improved PTZ control interface elements. ====<br />
<br />
==== v.1.1.7 New feature: Settings->General Settings->Video Stream setting. Improved icons in the Alarm Panel. ====<br />
<br />
==== v.1.1.5 Aspect ratio visualisation improvement. ====<br />
<br />
==== v.1.1.3 User interface and localisation improvements. Minor bug fix. ====<br />
<br />
==== v.1.1.2 New feature: Operator Chat in Alarm Notification Panel ====<br />
<br />
==== v.1.1.0 New feature: Connectivity with vCloud.ai VCA - Professional AI Video Analytics System. New Settings->Analytics menu section. Alarm Notification Panel. ====<br />
<br />
==== v.1.0.7 Minor bug fix and interface improvements. ====<br />
<br />
==== v.1.0.0 Full multilingual release of Cluebase VMS by vCloud.ai ====<br />
<br />
==== v.0.8.0 Public Beta 2 Release ====<br />
<br />
==== v.0.7.0 Developer Beta 1 ====</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=EN&diff=1010EN2023-09-11T18:15:34Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
== [[Cluebase VMS User Manual]] ==<br />
<br />
== [[Cluebase VMS Installation Manual]] ==<br />
<br />
== [[Cluebase VMS Technical Specifications]] ==<br />
<br />
== [[Cluebase VMS Architectural and Engineering Specification]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=EN&diff=1009EN2023-09-11T18:15:23Z<p>Vcloudai: </p>
<hr />
<div>== [[Cluebase VMS User Manual]] ==<br />
<br />
== [[Cluebase VMS Installation Manual]] ==<br />
<br />
== [[Cluebase VMS Technical Specifications]] ==<br />
<br />
== [[Cluebase VMS Architectural and Engineering Specification]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Change_log&diff=1008Change log2023-09-11T18:14:36Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
=== v.1.10.9 New features: VCA Object detection configuration added to .ai menu. Archive export improvements and progress indicator. ===<br />
<br />
=== v.1.10.7 New features: Face recognition configuration from .ai menu, Face recognition lists, Attendance and evacuation reports, expiry dates for each face. LPR configuration in .ai menu, LPR lists, export. Crowd detection configuration in .ai menu. Web socket notifications from VCA in Cluebase Alarm Panel ===<br />
<br />
=== v.1.10.3 New features: Maps menu tab added with advanced geo maps and multilayer floor plans. Maps and floor plans now can be a part of layout. Face recognition configuration added to the .ai menu in video windows. ===<br />
<br />
=== v.1.9.12 New features: Videoguard (SIRA) integration. Storage clean up. Click on counters opens reports. Select/deselect all cameras in role creation menu. 14 new features in API (VMS version, live view and playback snapshots, archive export, camera stream selection, user and role CRUD features, etc). Software version update button is now available in Settings->General settings->System information. Localization update. Minor bug fix. ===<br />
<br />
=== v.1.9.10 New features: Camera statuses and search added to camera settings. ===<br />
<br />
=== v.1.9.8 Major improvements of livestreams and archive performance. ===<br />
<br />
=== v.1.9.7 New features: HikVision native protocol (ISAPI) added. Optional alerts upon archive unavailability added. ===<br />
<br />
=== v.1.9.5 New features: Alarm comments. Video stream validation is now optional. Bug fixes. ===<br />
<br />
=== v.1.9.3 New feature: Server time settings and NTP synchronisation. ===<br />
<br />
=== v.1.9.2 New language pack that adds 14 new language support (Chinese, Spanish, Arabic, German, Korean, Thai, Hindi, Urdu, Azerbaijani, Persian, Circassian, Belarusian, Ukrainian and Polish). Desktop app updated to the current UI version. ===<br />
<br />
=== v.1.9.0 New feature: Failover (hot-swap) ===<br />
<br />
=== v.1.8.0 New feature: Object storage integration. ===<br />
<br />
=== v.1.7.4 New features: Branding options for changing logo, title, favicon and logon page image. User name now indicated in the main menu. Timeline rendering optimised for larger archives. ===<br />
<br />
=== v.1.7.2 New features: Clip download link in telegram notification. Archive availability indication in calendar. ===<br />
<br />
=== v.1.7.0 New features: Access control event integration. Human and vehicle counting reports. Bug fixes. ===<br />
<br />
=== v.1.6.2 New features: Camera brand detection in Camera Search. Portuguese localisation. Playback speed indicator now became a button. ===<br />
<br />
=== v.1.6.0 New features: Export and import VMS configuration. Reset configuration to factory defaults. ===<br />
<br />
=== v.1.5.0 New features: Logs - display or download logs. Desktop app for Windows, Mac OS and Linux are now available. User access rights logic improved. ===<br />
<br />
=== v.1.4.7 New features: Camera disconnection notifications. Scheduled stream reload for the web-client. Desktop client support. Minor interface improvements and bug fix. ===<br />
<br />
=== v.1.4.2 Multiserver bugfix. ===<br />
<br />
=== v.1.4.1 New feature: Multiserver functionality. ===<br />
<br />
=== v.1.3.3 Camera stream selection improved. Minor interface improvements and bug fix. ===<br />
<br />
=== v.1.3.2 Drag & Drop Video Windows Re-ordering added. ===<br />
<br />
=== v.1.3.0 New features: Event filter in Alarm Panel. Camera embedded video analytics integration. Improved Storage Settings. On-alarm recording with pre- and post- recording settings. Full screen mode. Object counter. ===<br />
<br />
=== v.1.2.7 New feature: Drag & Drop Layout tabs and Camera list. Minor interface improvements. ===<br />
<br />
=== v.1.2.3 New feature: Cluebase API v.1.0.0. release. ===<br />
<br />
=== v.1.2.2 New features: Tunnelling. Storage limit in GB. ===<br />
<br />
=== v.1.2.0 New features: Embedded AI Human and Vehicle Detector. Instant download of video clips and photos upon alarm notification. Improved RTSP server functionality. Email alerts: Analytics -> Notifications -> Email notifications. ===<br />
<br />
=== v.1.1.9 Improved Video Window Button controls. New Timeline zoom in/out buttons. ===<br />
<br />
=== v.1.1.8 Improved PTZ control interface elements. ===<br />
<br />
=== v.1.1.7 New feature: Settings->General Settings->Video Stream setting. Improved icons in the Alarm Panel. ===<br />
<br />
=== v.1.1.5 Aspect ratio visualisation improvement. ===<br />
<br />
=== v.1.1.3 User interface and localisation improvements. Minor bug fix. ===<br />
<br />
=== v.1.1.2 New feature: Operator Chat in Alarm Notification Panel ===<br />
<br />
=== v.1.1.0 New feature: Connectivity with vCloud.ai VCA - Professional AI Video Analytics System. New Settings->Analytics menu section. Alarm Notification Panel. ===<br />
<br />
=== v.1.0.7 Minor bug fix and interface improvements. ===<br />
<br />
=== v.1.0.0 Full multilingual release of Cluebase VMS by vCloud.ai ===<br />
<br />
=== v.0.8.0 Public Beta 2 Release ===<br />
<br />
=== v.0.7.0 Developer Beta 1 ===</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Change_log&diff=1007Change log2023-09-11T18:14:14Z<p>Vcloudai: </p>
<hr />
<div>=== v.1.10.9 New features: VCA Object detection configuration added to .ai menu. Archive export improvements and progress indicator. ===<br />
<br />
=== v.1.10.7 New features: Face recognition configuration from .ai menu, Face recognition lists, Attendance and evacuation reports, expiry dates for each face. LPR configuration in .ai menu, LPR lists, export. Crowd detection configuration in .ai menu. Web socket notifications from VCA in Cluebase Alarm Panel ===<br />
<br />
=== v.1.10.3 New features: Maps menu tab added with advanced geo maps and multilayer floor plans. Maps and floor plans now can be a part of layout. Face recognition configuration added to the .ai menu in video windows. ===<br />
<br />
=== v.1.9.12 New features: Videoguard (SIRA) integration. Storage clean up. Click on counters opens reports. Select/deselect all cameras in role creation menu. 14 new features in API (VMS version, live view and playback snapshots, archive export, camera stream selection, user and role CRUD features, etc). Software version update button is now available in Settings->General settings->System information. Localization update. Minor bug fix. ===<br />
<br />
=== v.1.9.10 New features: Camera statuses and search added to camera settings. ===<br />
<br />
=== v.1.9.8 Major improvements of livestreams and archive performance. ===<br />
<br />
=== v.1.9.7 New features: HikVision native protocol (ISAPI) added. Optional alerts upon archive unavailability added. ===<br />
<br />
=== v.1.9.5 New features: Alarm comments. Video stream validation is now optional. Bug fixes. ===<br />
<br />
=== v.1.9.3 New feature: Server time settings and NTP synchronisation. ===<br />
<br />
=== v.1.9.2 New language pack that adds 14 new language support (Chinese, Spanish, Arabic, German, Korean, Thai, Hindi, Urdu, Azerbaijani, Persian, Circassian, Belarusian, Ukrainian and Polish). Desktop app updated to the current UI version. ===<br />
<br />
=== v.1.9.0 New feature: Failover (hot-swap) ===<br />
<br />
=== v.1.8.0 New feature: Object storage integration. ===<br />
<br />
=== v.1.7.4 New features: Branding options for changing logo, title, favicon and logon page image. User name now indicated in the main menu. Timeline rendering optimised for larger archives. ===<br />
<br />
=== v.1.7.2 New features: Clip download link in telegram notification. Archive availability indication in calendar. ===<br />
<br />
=== v.1.7.0 New features: Access control event integration. Human and vehicle counting reports. Bug fixes. ===<br />
<br />
=== v.1.6.2 New features: Camera brand detection in Camera Search. Portuguese localisation. Playback speed indicator now became a button. ===<br />
<br />
=== v.1.6.0 New features: Export and import VMS configuration. Reset configuration to factory defaults. ===<br />
<br />
=== v.1.5.0 New features: Logs - display or download logs. Desktop app for Windows, Mac OS and Linux are now available. User access rights logic improved. ===<br />
<br />
=== v.1.4.7 New features: Camera disconnection notifications. Scheduled stream reload for the web-client. Desktop client support. Minor interface improvements and bug fix. ===<br />
<br />
=== v.1.4.2 Multiserver bugfix. ===<br />
<br />
=== v.1.4.1 New feature: Multiserver functionality. ===<br />
<br />
=== v.1.3.3 Camera stream selection improved. Minor interface improvements and bug fix. ===<br />
<br />
=== v.1.3.2 Drag & Drop Video Windows Re-ordering added. ===<br />
<br />
=== v.1.3.0 New features: Event filter in Alarm Panel. Camera embedded video analytics integration. Improved Storage Settings. On-alarm recording with pre- and post- recording settings. Full screen mode. Object counter. ===<br />
<br />
=== v.1.2.7 New feature: Drag & Drop Layout tabs and Camera list. Minor interface improvements. ===<br />
<br />
=== v.1.2.3 New feature: Cluebase API v.1.0.0. release. ===<br />
<br />
=== v.1.2.2 New features: Tunnelling. Storage limit in GB. ===<br />
<br />
=== v.1.2.0 New features: Embedded AI Human and Vehicle Detector. Instant download of video clips and photos upon alarm notification. Improved RTSP server functionality. Email alerts: Analytics -> Notifications -> Email notifications. ===<br />
<br />
=== v.1.1.9 Improved Video Window Button controls. New Timeline zoom in/out buttons. ===<br />
<br />
=== v.1.1.8 Improved PTZ control interface elements. ===<br />
<br />
=== v.1.1.7 New feature: Settings->General Settings->Video Stream setting. Improved icons in the Alarm Panel. ===<br />
<br />
=== v.1.1.5 Aspect ratio visualisation improvement. ===<br />
<br />
=== v.1.1.3 User interface and localisation improvements. Minor bug fix. ===<br />
<br />
=== v.1.1.2 New feature: Operator Chat in Alarm Notification Panel ===<br />
<br />
=== v.1.1.0 New feature: Connectivity with vCloud.ai VCA - Professional AI Video Analytics System. New Settings->Analytics menu section. Alarm Notification Panel. ===<br />
<br />
=== v.1.0.7 Minor bug fix and interface improvements. ===<br />
<br />
=== v.1.0.0 Full multilingual release of Cluebase VMS by vCloud.ai ===<br />
<br />
=== v.0.8.0 Public Beta 2 Release ===<br />
<br />
=== v.0.7.0 Developer Beta 1 ===</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Video_Analytics_Manual&diff=1006Video Analytics Manual2023-09-11T18:13:03Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
<br />
== [[Adding and working with video stream]] ==<br />
<br />
== [[VCloud.ai Object Detection VCA]] ==<br />
<br />
== [[vCloud.ai Smart Tracking VCA]] ==<br />
<br />
== [[vCloud.ai Face Recognition VCA]] ==<br />
<br />
== [[vCloud.ai Heat Map VCA]] ==<br />
<br />
== [[vCloud.ai Traffic Intensity Determination VCA]] ==<br />
<br />
== [[vCloud.ai Motion Detection VCA]] ==<br />
<br />
== [[vCloud.ai Pose Estimation VCA]] ==<br />
<br />
== [[vCloud.ai License Plate Recognition VCA]] ==<br />
<br />
== [[vCloud.ai Age and Gender Determination Module]] ==<br />
<br />
== [[vCloud.ai Smoke and Fire Detection VCA]] ==<br />
<br />
== [[vCloud.ai Hard Hat Detection Module]] ==<br />
<br />
== [[vCloud.ai VCA Event management Operation manual]] ==<br />
<br />
== [[Power BI|Power BI data visualization]] ==<br />
<br />
== [[Supported GPU]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=1005Main Page2023-09-11T18:12:12Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=1004Main Page2023-09-11T18:08:44Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
= [[Cluebase VMS Manuals|Cluebase VMS]] =<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=1003Main Page2023-09-11T18:05:15Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
= vCloud.ai Documentation =<br />
<br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cloud_Service_Manual&diff=1002Cloud Service Manual2023-09-11T18:04:42Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
<br />
== [[vCloud.ai VSaaS Administrator manual 1.1|vCloud.ai VSaaS Administrator manual]] ==<br />
<br />
== [[vCloud.ai VSaaS user manual 1.1|vCloud.ai VSaaS User manual]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cloud_Service_Manual&diff=1001Cloud Service Manual2023-09-11T18:04:27Z<p>Vcloudai: </p>
<hr />
<div><br />
== Contents ==<br />
<br />
== [[vCloud.ai VSaaS Administrator manual 1.1|vCloud.ai VSaaS Administrator manual]] ==<br />
<br />
== [[vCloud.ai VSaaS user manual 1.1|vCloud.ai VSaaS User manual]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Video_Analytics_Manual&diff=1000Video Analytics Manual2023-09-11T18:03:43Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
==Contents==<br />
<br />
== [[Adding and working with video stream]] ==<br />
<br />
== [[VCloud.ai Object Detection VCA]] ==<br />
<br />
== [[vCloud.ai Smart Tracking VCA]] ==<br />
<br />
== [[vCloud.ai Face Recognition VCA]] ==<br />
<br />
== [[vCloud.ai Heat Map VCA]] ==<br />
<br />
== [[vCloud.ai Traffic Intensity Determination VCA]] ==<br />
<br />
== [[vCloud.ai Motion Detection VCA]] ==<br />
<br />
== [[vCloud.ai Pose Estimation VCA]] ==<br />
<br />
== [[vCloud.ai License Plate Recognition VCA]] ==<br />
<br />
== [[vCloud.ai Age and Gender Determination Module]] ==<br />
<br />
== [[vCloud.ai Smoke and Fire Detection VCA]] ==<br />
<br />
== [[vCloud.ai Hard Hat Detection Module]] ==<br />
<br />
== [[vCloud.ai VCA Event management Operation manual]] ==<br />
<br />
== [[Power BI|Power BI data visualization]] ==<br />
<br />
== [[Supported GPU]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Video_Analytics_Manual&diff=999Video Analytics Manual2023-09-11T18:03:29Z<p>Vcloudai: </p>
<hr />
<div>==Contents==<br />
<br />
== [[Adding and working with video stream]] ==<br />
<br />
== [[VCloud.ai Object Detection VCA]] ==<br />
<br />
== [[vCloud.ai Smart Tracking VCA]] ==<br />
<br />
== [[vCloud.ai Face Recognition VCA]] ==<br />
<br />
== [[vCloud.ai Heat Map VCA]] ==<br />
<br />
== [[vCloud.ai Traffic Intensity Determination VCA]] ==<br />
<br />
== [[vCloud.ai Motion Detection VCA]] ==<br />
<br />
== [[vCloud.ai Pose Estimation VCA]] ==<br />
<br />
== [[vCloud.ai License Plate Recognition VCA]] ==<br />
<br />
== [[vCloud.ai Age and Gender Determination Module]] ==<br />
<br />
== [[vCloud.ai Smoke and Fire Detection VCA]] ==<br />
<br />
== [[vCloud.ai Hard Hat Detection Module]] ==<br />
<br />
== [[vCloud.ai VCA Event management Operation manual]] ==<br />
<br />
== [[Power BI|Power BI data visualization]] ==<br />
<br />
== [[Supported GPU]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_Manuals&diff=998Cluebase VMS Manuals2023-09-11T18:02:57Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
== [[EN]] ==<br />
<br />
== [[TR]] ==<br />
<br />
== [https://be.vcloud.ai/wp-content/uploads/2023/04/vmshw.html Hardware calculator] ==<br />
<br />
== [[Change log]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Cluebase_VMS_Manuals&diff=997Cluebase VMS Manuals2023-09-11T18:02:38Z<p>Vcloudai: </p>
<hr />
<div>== [[EN]] ==<br />
<br />
== [[TR]] ==<br />
<br />
== [https://be.vcloud.ai/wp-content/uploads/2023/04/vmshw.html Hardware calculator] ==<br />
<br />
== [[Change log]] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=996Main Page2023-09-11T18:02:14Z<p>Vcloudai: </p>
<hr />
<div>__NOTOC__<br />
= vCloud.ai Documentation =<br />
<br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Marketing Presentations and Brochures]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=995Main Page2023-09-11T17:58:42Z<p>Vcloudai: </p>
<hr />
<div>= vCloud.ai Documentation =<br />
<br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Marketing Presentations and Brochures]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=994Main Page2023-09-11T17:58:16Z<p>Vcloudai: </p>
<hr />
<div>= vCloud.ai Documentation =<br />
<br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Marketing Presentations and Brochures]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=993Main Page2023-09-11T17:57:47Z<p>Vcloudai: </p>
<hr />
<div><br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Marketing Presentations and Brochures]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=992Main Page2023-09-11T17:57:26Z<p>Vcloudai: </p>
<hr />
<div><br />
== [[Cluebase VMS Manuals|Cluebase VMS]] ==<br />
<br />
== [[Cloud Service Manual|Cloud Service]] ==<br />
<br />
== [[Video Analytics Manual|Video Analytics]] ==<br />
<br />
== [[Bridge v.2]] ==<br />
<br />
== [[Marketing Presentations and Brochures]] ==<br />
<br />
== [[Brand Book]] ==<br />
<br />
== [[Italian manuals]] ==<br />
<br />
== [https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)] ==<br />
<br />
== [https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)] ==<br />
<br />
== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ==</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=991Main Page2023-09-11T17:57:05Z<p>Vcloudai: </p>
<hr />
<div><br />
=== [[Cluebase VMS Manuals|Cluebase VMS]] ===<br />
<br />
=== [[Cloud Service Manual|Cloud Service]] ===<br />
<br />
=== [[Video Analytics Manual|Video Analytics]] ===<br />
<br />
=== [[Bridge v.2]] ===<br />
<br />
=== [[Marketing Presentations and Brochures]] ===<br />
<br />
=== [[Brand Book]] ===<br />
<br />
=== [[Italian manuals]] ===<br />
<br />
=== [https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)] ===<br />
<br />
=== [https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)] ===<br />
<br />
=== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ===</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=990Main Page2023-09-11T17:56:30Z<p>Vcloudai: </p>
<hr />
<div>== vCloud.ai Product Documentation: ==<br />
<br />
=== [[Cluebase VMS Manuals|Cluebase VMS]] ===<br />
<br />
=== [[Cloud Service Manual|Cloud Service]] ===<br />
<br />
=== [[Video Analytics Manual|Video Analytics]] ===<br />
<br />
=== [[Bridge v.2]] ===<br />
<br />
=== [[Marketing Presentations and Brochures]] ===<br />
<br />
=== [[Brand Book]] ===<br />
<br />
=== [[Italian manuals]] ===<br />
<br />
=== [https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)] ===<br />
<br />
=== [https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)] ===<br />
<br />
=== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ===</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=989Main Page2023-09-11T17:55:50Z<p>Vcloudai: </p>
<hr />
<div>== Documentation contents: ==<br />
<br />
=== [[Cluebase VMS Manuals|Cluebase VMS]] ===<br />
<br />
=== [[Cloud Service Manual|Cloud Service]] ===<br />
<br />
=== [[Video Analytics Manual|Video Analytics]] ===<br />
<br />
=== [[Bridge v.2]] ===<br />
<br />
=== [[Marketing Presentations and Brochures]] ===<br />
<br />
=== [[Brand Book]] ===<br />
<br />
=== [[Italian manuals]] ===<br />
<br />
=== [https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)] ===<br />
<br />
=== [https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)] ===<br />
<br />
=== [https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification] ===</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=988Main Page2023-09-11T17:54:58Z<p>Vcloudai: </p>
<hr />
<div>*[[Cluebase VMS Manuals|Cluebase VMS]] <br />
* [[Cloud Service Manual|Cloud Service]] <br />
* [[Video Analytics Manual|Video Analytics]]<br />
* [[Bridge v.2]]<br />
* [[Marketing Presentations and Brochures]]<br />
* [[Brand Book]]<br />
* [[Italian manuals]]<br />
*[https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)]<br />
*[https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)]<br />
*[https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=987Main Page2023-09-11T17:54:16Z<p>Vcloudai: </p>
<hr />
<div>* [[FAQ]]<br />
*[[Cluebase VMS Manuals|Cluebase VMS]] <br />
* [[Cloud Service Manual|Cloud Service]] <br />
* [[Video Analytics Manual|Video Analyticsl]]<br />
* [[Bridge v.2]]<br />
* [[Marketing Presentations and Brochures]]<br />
* [[Brand Book]]<br />
* [[Italian manuals]]<br />
*[https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)]<br />
*[https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)]<br />
*[https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Main_Page&diff=986Main Page2023-09-11T17:52:36Z<p>Vcloudai: </p>
<hr />
<div>* [[FAQ]]<br />
*[[Cluebase VMS Manuals]]<br />
* [[Cloud Service Manual]]<br />
* [[Video Analytics Manual]]<br />
* [[Cluebase VMS Manuals]]<br />
* [[Bridge v.2]]<br />
* [[Marketing Presentations and Brochures]]<br />
* [[Brand Book]]<br />
* [[Italian manuals]]<br />
*[https://www.youtube.com/channel/UCZlqRcUcDA8vquTsGJ_re-Q Videos (English)]<br />
*[https://www.youtube.com/channel/UCREa6sPJpaI2gz3ZE7-_RyQ Videos (Portuguese)]<br />
*[https://vcloud-technical-training.trainercentralsite.eu/#/home Online training and certification]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Supported_GPU&diff=985Supported GPU2023-09-11T17:52:12Z<p>Vcloudai: Created page with "NVIDIA GTX 1050 Ti 4GB NVIDIA GTX 1060 3GB NVIDIA GTX 1060 6GB NVIDIA GTX 1070 8GB NVIDIA GTX 1070 Ti 8GB NVIDIA GTX 1080 8GB NVIDIA GTX 1080 Ti 11GB NVIDIA GTX 1650 4GB NVIDIA GTX 1650S 4GB NVIDIA GTX 1660 6GB || GTX 1660S 6GB NVIDIA GTX 1660 Ti 6GB NVIDIA RTX 2060 6GB NVIDIA RTX 2060S 8GB NVIDIA RTX 2070 8GB NVIDIA RTX 2070S 8GB NVIDIA RTX 2080 8GB NVIDIA RTX 2080S 8GB NVIDIA RTX 2080 Ti 11GB NVIDIA RTX 3060 12GB NVIDIA RTX 3060 Ti 8GB NVIDIA RTX 3..."</p>
<hr />
<div>NVIDIA GTX 1050 Ti 4GB <br />
<br />
NVIDIA GTX 1060 3GB<br />
<br />
NVIDIA GTX 1060 6GB<br />
<br />
NVIDIA GTX 1070 8GB<br />
<br />
NVIDIA GTX 1070 Ti 8GB<br />
<br />
NVIDIA GTX 1080 8GB<br />
<br />
NVIDIA GTX 1080 Ti 11GB<br />
<br />
NVIDIA GTX 1650 4GB<br />
<br />
NVIDIA GTX 1650S 4GB<br />
<br />
NVIDIA GTX 1660 6GB || GTX 1660S 6GB<br />
<br />
NVIDIA GTX 1660 Ti 6GB<br />
<br />
NVIDIA RTX 2060 6GB<br />
<br />
NVIDIA RTX 2060S 8GB<br />
<br />
NVIDIA RTX 2070 8GB<br />
<br />
NVIDIA RTX 2070S 8GB<br />
<br />
NVIDIA RTX 2080 8GB<br />
<br />
NVIDIA RTX 2080S 8GB<br />
<br />
NVIDIA RTX 2080 Ti 11GB<br />
<br />
NVIDIA RTX 3060 12GB<br />
<br />
NVIDIA RTX 3060 Ti 8GB<br />
<br />
NVIDIA RTX 3070 8GB<br />
<br />
NVIDIA RTX 3070 Ti 8GB<br />
<br />
NVIDIA RTX 3080 10GB<br />
<br />
NVIDIA RTX 3080 Ti 12GB<br />
<br />
NVIDIA RTX 3090 24GB<br />
<br />
NVIDIA RTX 4060<br />
<br />
NVIDIA RTX 4060 Ti<br />
<br />
NVIDIA RTX 4070<br />
<br />
NVIDIA RTX 4070 Ti<br />
<br />
NVIDIA RTX 4080 12GB<br />
<br />
NVIDIA RTX 4080<br />
<br />
NVIDIA RTX 4090<br />
<br />
NVIDIA Tesla T4 16GB <br />
<br />
NVIDIA RTX A4000 16GB<br />
<br />
NVIDIA RTX A4500 20GB<br />
<br />
NVIDIA RTX A5000 24GB<br />
<br />
NVIDIA Tesla A10G 12GB<br />
<br />
NVIDIA Tesla A40 48GB || RTX A6000 48GB</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Video_Analytics_Manual&diff=984Video Analytics Manual2023-09-11T17:51:57Z<p>Vcloudai: /* Contents */</p>
<hr />
<div>==Contents==<br />
* [[Adding and working with video stream]]<br />
*<br />
* [[VCloud.ai Object Detection VCA]]<br />
* [[vCloud.ai Smart Tracking VCA]]<br />
* [[vCloud.ai Face Recognition VCA]]<br />
* [[vCloud.ai Heat Map VCA]]<br />
* [[vCloud.ai Traffic Intensity Determination VCA]]<br />
* [[vCloud.ai Motion Detection VCA]]<br />
* [[vCloud.ai Pose Estimation VCA]]<br />
* [[vCloud.ai License Plate Recognition VCA]]<br />
*[[vCloud.ai Age and Gender Determination Module]]<br />
*[[vCloud.ai Smoke and Fire Detection VCA]]<br />
*[[vCloud.ai Hard Hat Detection Module]]<br />
*[[vCloud.ai VCA Event management Operation manual]]<br />
*[[Power BI|Power BI data visualization]]<br />
*[[Supported GPU]]</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Video_Analytics_Manual&diff=983Video Analytics Manual2023-09-11T17:50:49Z<p>Vcloudai: </p>
<hr />
<div>==Contents==<br />
* [[Adding and working with video stream]]<br />
*<br />
* [[VCloud.ai Object Detection VCA]]<br />
* [[vCloud.ai Smart Tracking VCA]]<br />
* [[vCloud.ai Face Recognition VCA]]<br />
* [[vCloud.ai Heat Map VCA]]<br />
* [[vCloud.ai Traffic Intensity Determination VCA]]<br />
* [[vCloud.ai Motion Detection VCA]]<br />
* [[vCloud.ai Pose Estimation VCA]]<br />
* [[vCloud.ai License Plate Recognition VCA]]<br />
*[[vCloud.ai Age and Gender Determination Module]]<br />
*[[vCloud.ai Smoke and Fire Detection VCA]]<br />
*[[vCloud.ai Hard Hat Detection Module]]<br />
*[[vCloud.ai VCA Event management Operation manual]]<br />
*[[Power BI|Power BI data visualization]]<br />
*Supported GPU</div>Vcloudaihttps://docs.vcloud.ai/index.php?title=Change_log&diff=982Change log2023-09-11T16:56:02Z<p>Vcloudai: </p>
<hr />
<div><br />
v.1.10.9 New features: VCA Object detection configuration added to .ai menu. Archive export improvements and progress indicator. <br />
<br />
v.1.10.7 New features: Face recognition configuration from .ai menu, Face recognition lists, Attendance and evacuation reports, expiry dates for each face. LPR configuration in .ai menu, LPR lists, export. Crowd detection configuration in .ai menu. Web socket notifications from VCA in Cluebase Alarm Panel <br />
<br />
v.1.10.3 New features: Maps menu tab added with advanced geo maps and multilayer floor plans. Maps and floor plans now can be a part of layout. Face recognition configuration added to the .ai menu in video windows. <br />
<br />
v.1.9.12 New features: Videoguard (SIRA) integration. Storage clean up. Click on counters opens reports. Select/deselect all cameras in role creation menu. 14 new features in API (VMS version, live view and playback snapshots, archive export, camera stream selection, user and role CRUD features, etc). Software version update button is now available in Settings->General settings->System information. Localization update. Minor bug fix. <br />
<br />
v.1.9.10 New features: Camera statuses and search added to camera settings. <br />
<br />
v.1.9.8 Major improvements of livestreams and archive performance. <br />
<br />
v.1.9.7 New features: HikVision native protocol (ISAPI) added. Optional alerts upon archive unavailability added. <br />
<br />
v.1.9.5 New features: Alarm comments. Video stream validation is now optional. Bug fixes. <br />
<br />
v.1.9.3 New feature: Server time settings and NTP synchronisation. <br />
<br />
v.1.9.2 New language pack that adds 14 new language support (Chinese, Spanish, Arabic, German, Korean, Thai, Hindi, Urdu, Azerbaijani, Persian, Circassian, Belarusian, Ukrainian and Polish). Desktop app updated to the current UI version. <br />
<br />
v.1.9.0 New feature: Failover (hot-swap) <br />
<br />
v.1.8.0 New feature: Object storage integration. <br />
<br />
v.1.7.4 New features: Branding options for changing logo, title, favicon and logon page image. User name now indicated in the main menu. Timeline rendering optimised for larger archives. <br />
<br />
v.1.7.2 New features: Clip download link in telegram notification. Archive availability indication in calendar. <br />
<br />
v.1.7.0 New features: Access control event integration. Human and vehicle counting reports. Bug fixes. <br />
<br />
v.1.6.2 New features: Camera brand detection in Camera Search. Portuguese localisation. Playback speed indicator now became a button. <br />
<br />
v.1.6.0 New features: Export and import VMS configuration. Reset configuration to factory defaults. <br />
<br />
v.1.5.0 New features: Logs - display or download logs. Desktop app for Windows, Mac OS and Linux are now available. User access rights logic improved. <br />
<br />
v.1.4.7 New features: Camera disconnection notifications. Scheduled stream reload for the web-client. Desktop client support. Minor interface improvements and bug fix. <br />
<br />
v.1.4.2 Multiserver bugfix.<br />
<br />
v.1.4.1 New feature: Multiserver functionality.<br />
<br />
v.1.3.3 Camera stream selection improved. Minor interface improvements and bug fix.<br />
<br />
v.1.3.2 Drag & Drop Video Windows Re-ordering added. <br />
<br />
v.1.3.0 New features: Event filter in Alarm Panel. Camera embedded video analytics integration. Improved Storage Settings. On-alarm recording with pre- and post- recording settings. Full screen mode. Object counter.<br />
<br />
v.1.2.7 New feature: Drag & Drop Layout tabs and Camera list. Minor interface improvements.<br />
<br />
v.1.2.3 New feature: Cluebase API v.1.0.0. release.<br />
<br />
v.1.2.2 New features: Tunnelling. Storage limit in GB.<br />
<br />
v.1.2.0 New features: Embedded AI Human and Vehicle Detector. Instant download of video clips and photos upon alarm notification. Improved RTSP server functionality. Email alerts: Analytics -> Notifications -> Email notifications. <br />
<br />
v.1.1.9 Improved Video Window Button controls. New Timeline zoom in/out buttons.<br />
<br />
v.1.1.8 Improved PTZ control interface elements. <br />
<br />
v.1.1.7 New feature: Settings->General Settings->Video Stream setting. Improved icons in the Alarm Panel. <br />
<br />
v.1.1.5 Aspect ratio visualisation improvement. <br />
<br />
v.1.1.3 User interface and localisation improvements. Minor bug fix.<br />
<br />
v.1.1.2 New feature: Operator Chat in Alarm Notification Panel<br />
<br />
v.1.1.0 New feature: Connectivity with vCloud.ai VCA - Professional AI Video Analytics System. New Settings->Analytics menu section. Alarm Notification Panel.<br />
<br />
v.1.0.7 Minor bug fix and interface improvements.<br />
<br />
v.1.0.0 Full multilingual release of Cluebase VMS by vCloud.ai<br />
<br />
v.0.8.0 Public Beta 2 Release<br />
<br />
v.0.7.0 Developer Beta 1</div>Vcloudai