Configuring Smoke and Fire Detection Tools

To configure smoke (fire) detection tool:

1. To record the sensitivity scale of the detection tool to the archive (see Extra information overlay (Masks)), select Yes for the Record mask to archive parameter (1).
   
   
2. If a camera supports multistreaming, select the stream for which detection is needed (2). Selecting a low-quality video stream allows reducing the load on the Server.
   
3. Select a processing resource for decoding video streams (3). When you select a GPU, a stand-alone graphics card takes priority (when decoding with Nvidia NVDEC chips). If there's no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding.

4. Set the frame rate value for the detection tool to process (4). The value should be in the [0,016, 100] range.

   Note

   The default values (5 frames and 0.1 fps) indicate that the tool will analyze frame over 50 seconds span. The detection tool samples 1 frame per 10 seconds. If it detects smoke/fire on 5 consecutive fames, it triggers an alert.

5. Select the processor for the neural network − CPU, one of Nvidia GPUs or one of Intel GPUs (5, see Hardware requirements for neural analytics operation). 

   Attention!

   It may take several minutes to launch the algorithm on an Nvidia GPU after you apply the settings. You can use caching to speed up future launches (see Configuring the acceleration of GPU-based neuroanalytics).

   Attention!

   If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the detection tool will consume CPU as well.

6. Select a neural network file (6). The following standard neural networks for different processor types are located in C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK:

   smoke_movidius.ann	Smoke detector/IntelNCS
   smoke_openvino.ann	Smoke detector/CPU
   smoke_original.ann	Smoke detector/GPU
   fire_movidius.ann	Fire detector/IntelNCS
   fire_openvino.ann	Fire detector/CPU
   fire_original.ann	Fire detector/GPU

   Enter full path to a custom neural network file into this field. This is not required if you use standard neural networks which are selected automatically.

   Note

   For correct neural network operation under Linux, place the corresponding file in the /opt/AxxonSoft/AxxonOne/ directory

7. Set the minimum number of frames with smoke (fire) for triggering the tool (7). The value should be in the [5; 20] range.
8. You can experiment with the sensitivity of the tool (8). The value must be in the range [1; 99]. The preview window displays the sensitivity scale of the detection tool that relates to the Sensitivity parameter. If the scale is green, smoke (fire) is not detected. If the scale is yellow, smoke (fire) is detected, but not enough to trigger the tool. If the scale is red, smoke (fire) is detected and the detection tool will trigger, if the scale is red through the sampling period (50 seconds by default, see item 4).
   Example. The sensitivity parameter value of 40 implies that the alert is triggered when the scale has been at least 4 graduations full over the entire detection time span (50 sec by default, see i.4). The triggering stops when the scale has been less than 2 graduations full during analysis time. The alert is triggered again if the scale has been at least 4 graduations full over the entire detection time span.
9. Select Yes for the Ignore black and white image parameter (9), if it is necessary that the detection tool does not trigger when the image is black and white.

10. By default, the detection is performed over full image area. In the preview window, you can set several detection zones by their anchor points as follows:

    1. Right-click anywhere in the Preview window.
       

    2. Select Detection area (rectangle) for a rectangular zone. If you specify a rectangular area, the detection tool will work only within its limits; the rest of the FoV will be ignored.

    3. Select Detection area (polygon) to set one or several polygonal zones. If you specify one or several polygonal areas, the detection tool will process the entire FoV while the remaining part of the FoV will be blacked out.
       

       Note

       You can configure detection zones similarly to privacy masks in scene analytics (see Setting General Zones for Scene Analytics).