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

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Video stream and scene requirements for the Stopped object detector

Hardware requirements for neural analytics operation

Requirements for the operation of the Stopped object detector are given in the table:

Object images
  • The detected object must be clearly distinguishable by the human eye
  • Width and height of objects in the image must not exceed 75% of the frame size
  • When you use a neural filter, the minimum width or height of an object must be at least 5% of the width/height of the frame
  • The image isn't noisy and not distorted by the artifacts of compression algorithm
  • The duration of the object visibility is at least six frames
  • Between two frames, an object must move in the direction of a distance not exceeding its size. This condition is necessary for the correct calculation of object track
  • The minimum value of pixel density per meter is observed:
    Image resolutionObject typeMinimum pixel density per meter (ratio of the object width in pixels to the object width in meters)Minimum object size in pixels, width x heightRatio of the object width to the frame width as a percentage
    1920x1080Human55~25x105~3%
    1280x720Human35~17x70~3%
    640x360Human17~10x42~3%
    1920x1080Light vehicle (2 axles)55~354x300~20%
    1280x720Light vehicle (2 axles)35~240x205~20%
    640x360Light vehicle (2 axles)17~132x112~20%
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