Documentation for Axxon Next 4.4.6. Documentation for other versions of Axxon Next is available too.

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Camera requirements for Fire and Smoke Detection

To configure smoke (fire) detection tool:


  1. Set the interval between the processes frames in seconds (1). The value should be in the [1;30] range.

    Note

    The default values (5 frames and 10 seconds) indicate that the tool will analyze one frame every 10 seconds.  When smoke (fire) is detected in 5 frames, the tool will trigger.


  2. Select the processor for the neural network — CPU, one of GPUs or a IntelNCS (2). 

  3. Select a neural network file (3).  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/AxxonNext/ directory. 

  4. Set the minimum number of frames with smoke (fire) for triggering the tool (4). The value should be in the [5;20] range.
  5. You can experiment with the sensitivity of the tool (5).  The value must be in the range [1; 99]. The preview window displays the sensitivity scale of the detection tool. It is color-coded as follows:

    1. Green - smoke (fire) not detected.  

    2. Yellow - smoke (fire) detected, but not enough to trigger the tool.

    3. Red - smoke (fire) detected.

      If you increase the sensitivity value, you have more alerts (red scale).

  6. 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 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 Area of analytycs  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).

Important!

You can use trial and error method to decide which type of detection area (rectangular or polygonal) is more effective in your case. Some neural networks give better detection with rectangles while others are better with polygons.

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