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  1. Use color cameras. With black and white cameras, the detection quality can be noticeably worse.
  2. The video resolution must be at least 640x360.
  3. FPS : the response rate of the detection module depends on the number of frames per second, by default, it is 1 per every 10 seconds (directly affects detection efficiency; in most cases, it is enough the default value of 0.1 is sufficient to detect a fire/smoke that lasts smoke or fire which develops in more than 1 one minute).

  4. The minimum area of minimal recognized fire/smoke in the frame area depends on the particular neural network used. For a standard neural network network (see Configuring Smoke and Fire Detection Tools), the area of  the fire/smoke should be area must occupy at least 10% of the frame. 

    Info
    titleNote

    In some cases, when the fire is well contained, it may be sufficient for a detection tool that the width/height of the fire zone is expected to be clearly visible, the fire area may be sufficient at 1-3% of the FoV width / height of the frame.


  5. Fire/smoke should be visually separated from the background.
Note
titleAttention!

If If you set a rectangular detection recognition area is specified on the video image, then the above requirements are relevant for it, and not for for the detection tool, the limitations apply to this area rather than to the entire frame (see Configuring Smoke and Fire Detection Tools).

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