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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).
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2. If the If a camera supports multistreaming, select the stream for which detection is needed (12). Selecting a low-quality video stream allows reducing the load on the Server.
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3. Select a processing resource for decoding video streams (23). When you select a GPU, a stand-alone graphics card takes priority (when decoding with NVidia NVIDIA NVDEC chips). If there 's is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding.

4. Set the interval between the processes frames in seconds (3frame rate value for the detection tool to process per second (4). The value should be in the the [10,016; 30100] range range.

   Info
   title Note
   The default values (5 frames and 10 secondsfor output and 0,1 FPS) indicate that the tool will analyze one frame over 50 seconds span. The detection tool analyzes 1 frame every 10 seconds.   When smoke (fire) is detected in 5 frames, the If it detects smoke/fire on 5 consecutive fames, the detection tool will trigger an alert.

   
   

5. Select the processor for the neural network — CPU, one of Nvidia GPUs or a IntelNCS (4one of Intel GPUs (5, seeHardware requirements for neural analytics operation, General Information on Configuring Detection). 

   Note
   title 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).

   
   

   Note
   title Attention!
   If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run the detection tool will consume CPU as well.

   
   

6. Select a neural network file (56).   The The following standard neural networks for different processor types are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory:

   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.

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   title Note
   For correct neural network operation under on Linux, place the corresponding file in the /opt/AxxonSoft/AxxonNextDetectorPack/NeuroSDK directory.

   
   

7. Set the minimum number of frames with smoke (fire) for triggering the tool (67). The value should be in the [5; 20] range..
8. To detect the objects without changing the frame size, select Yes in the Scanning mode field (8).
9. Set You can experiment with the sensitivity of the tool by trial and error (79).  The The value must should be in the range [1; 99] range. The preview window displays the sensitivity scale of the detection tool . It is color-coded as follows:Green - that relates to the sensitivity parameter. If the scale is green, smoke (fire) is not detected.   Yellow - If the scale is yellow, smoke (fire) is detected, but not enough to trigger the tool. Red - If the scale is red, smoke (fire) is detected .

   If you increase the sensitivity value, you have more alerts (red scale).
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   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 at least 4 divisions full over the entire detection time span. The triggering will stop when the scale has less than 2 divisions full over the detection time span. The alert will trigger again if the scale has at least 4 divisions full over the entire detection time span.
   
10. Select Yes for the Ignore black and white image parameter (10), if it is necessary that the detection tool does not trigger when the image is black and white.

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

    1. Right-click anywhere in the Preview preview window.
       

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

    3. Select Analytics Area (polygon) to set one or several polygonal zonesareas. 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.
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       Info
       title Note
       You can configure detection zones areas similarly to privacy masks in scene Scene analytics detection tools (see Setting General Zones for Scene Analyticsanalytics detection tools).

       
       

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