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

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Image requirements for the Queue detector

Requirements for the operation of the Queue detector are given in the table:

Camera

  • Resolution: 720х576 (CIF4), 360х288 (CIF1) is also allowed. Increasing the resolution above CIF4 doesn't improve the performance of the recognition algorithm
  • FPS is at least 6
  • Color: analytics works with both gray and color images
  • No camera shake

Lighting

  • The best performance of the detection tool is achieved under moderate lighting. In conditions of insufficient (night) or excessive (light-striking) lighting, the algorithm performance can decrease
  • Abrupt changes in lighting can lead to short-term incorrect operation of analytics

Scene and camera angle

  • The best position is the camera looking down at the scene. The better this requirement is met, the more accurate the estimate is
  • Dimensions of the camera FOV: minimum 3x3 m (6x6 people), optimal 4x4 m (8x8 people), maximum 8x8 m (16x16 people)
  • The background is mostly static and doesn’t change abruptly
  • Analytics can work incorrectly on reflective surfaces, and if there are sharp shadows from moving objects
  • Analytics can work incorrectly if there are periodic movements of background objects in the camera FOV (trees, TV is on, and so on)
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