VCloud.ai Smoke and Fire Detection VCA

From vCloud.ai Documentation
Revision as of 13:53, 31 May 2022 by Vcloudai (talk | contribs) (Created page with " == '''Main functionality''' == * Recognition and notification of the appearance of smoke or an open fire source. * Data storage on the occurrence of smoke or fire at the objects of observation. == '''Product Description''' == 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. {| class="wikitable" |'''Parameter''' |'''Recommended value''' |- |C...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Main functionality

  • Recognition and notification of the appearance of smoke or an open fire source.
  • Data storage on the occurrence of smoke or fire at the objects of observation.

Product Description

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.

Parameter Recommended value
CPU Intel Core i5-5575 or higher
RAM 2 GB RAM
GPU NVIDIA 1030
Places for archive up to 3GB per day (~4.5k detections )
Operating system Ubuntu 18.04.3 LTS (Bionic Beaver), Windows х64 7, 8.1, 10

Analytics

To open the Smoke & Fire Detection analytics, select Smoke & Fire Detection in the left menu and pass to the Analytics section.

K30.png

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.

There is a search field at the top of the page. Here you can filter analytics by the following parameters:

Field name Description
Camera Analytics name or part of a name can be entered in this field
Status Select the Analytics status from the drop-down list - All, Active, or Stopped

To start the search click on the Search button. To clear the fields click on the Reset button.

K31.png

The list of analytics is shown in the table below.

Analytics Adding

In order to add a new Smoke & Fire Detection analytics, press Add Analytics in the upper-right corner of the page.

K32.png

The Smoke & Fire Detection analytics setup process consists of 3 Steps.


Step 1 - General

K33.png

First of all, it is necessary to select a video stream. Click on the Video field and select the camera name from a list.

K34.png

You can also enter the part of the camera name in the Search field to find the necessary video stream faster.

K35.png

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.

K36.png

When the video stream is selected press the Set Video Stream button.

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.

To add analytics it is necessary to set up the following parameters:

Field name Description
Notification Detect Delay The frequency with which the system will check for smoke and open sources of fire. Possible range from 1 to 60 sec
Notification Alert Delay The frequency with which the system will send notifications. Possible range from 1 to 300 sec
Time Frame Select the time period for which the system will scan the territory

Then it is necessary to place a detection area.

Move the white and red markers to line up the desired area.

K37.png

The analytics will be performed only within the boundaries of the selected area.

In order to remove the area, click on the Delete Rule button.

K39.png

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.

K40.png

To pass to the next step, click on the Next button in the upper right corner of the page.

K42.png

Step 2 - Hardware

K43.png