Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.

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Hardware requirements for neural analytics operation

Requirements for the operation of the Neural classifier are given in the table:

Camera
  • We recommend using color cameras. With black and white cameras, the detection quality can be noticeably worse
  • Resolution must be at least 640x360
  • FPS directly affects detection efficiency. In most cases, the default value (1 detection per 10 seconds) is sufficient to detect the appearance of an object that last more than one minute

Attention!

Correct operation of the detector isn't guaranteed if you use frames that were masked before they got into Axxon One by an IP camera or similar methods.

Scene and angle
  • The minimum area of the object in the frame depends on the neural network that you use
  • The object must be visually separated from the background

Attention!

If you set a rectangular recognition area for the detector, the requirements apply to this area rather than to the entire frame (see Configuring the Neural classifier).

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