Image requirements for Object Tracker VL

Hardware requirements for neural analytics operation

Requirements for the operation of Object Tracker VL are given in the table:

Camera
  • Resolution must be at least 640x360 pixels.
  • Tracker-based analytics works with both colorless (gray) and color images. We recommend using color cameras. When you use black-and-white cameras, the recognition quality can be noticeably worse.
  • The camera angle should be as horizontal as possible.

  • Recommended camera tilt angle is from 0 (parallel to the ground) to 60 degrees.

  • The camera position for human detection should be as shown in the image below:


    Incorrect camera position:

Lighting
  • Lighting in the scene is at least 50 lux. 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)
  • The analyzed scene doesn't have reflective surfaces and sharp shadows from moving objects. If present, they must be masked
  • Camera shake doesn't result in image offsets greater than 1% of the frame size