Documentation for Axxon One 2.0 version. Documentation for Axxon One 3.0 version is also available.


Image requirements for the Object tracker and its sub-detectors

Hardware requirements for neural analytics operation

Requirements for the operation of the Object tracker and its sub-detectors are given in the table:

Camera
  • Resolution must be at least 640x360 pixels. We also don't recommend using a resolution higher than 800×600

    Attention!

    Higher resolution doesn't increase the detection quality, but significantly increases the CPU and RAM load.

  • FPS is at least 6
  • Tracker-based analytics works with both colorless (gray) and color images. If you use neural filter, we recommend using color cameras. When you use black-and-white cameras, the recognition quality can be noticeably worse
  • Camera shake must not result in image offsets greater than 1% of the frame size
Lighting
  • Moderate lighting. In conditions of insufficient or excessive lighting (night or light-striking), stable operation of the analytics isn't guaranteed
  • No abrupt changes in lighting
Scene and camera angle
  • Moving objects are visually separable from each other
  • The background is mostly static and doesn't change abruptly
  • Moving objects are minimally obscured by static objects in the scene (columns, trees, and so on)

  • Analytics can work incorrectly if:

    • the analyzed scene have reflective surfaces and sharp shadows from moving objects

    • there are extended monochromatic objects in the frame

  • When using the Abandoned object detector, abandoned objects can be obscured by moving objects no more than 10% of the time


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