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changes.mady.by.user Gleb Matskevich

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changes.mady.by.user Alena Kniazeva

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Tip

Image requirements for the Pose Detection and its sub-tools

Hardware requirements for neural analytics operation

...

~15x65
Camera
  • Resolution must be at least 640x360 pixels. We also don't recommend using a resolution higher than 1920×1080, since higher resolution doesn't increase the detection quality, but significantly increases the consumption of resources. The optimal resolution for solving typical tasks is 1280x720
  • The frame rate per second in the video stream from the camera is at least 8
  • Color image only
Note
titleAttention!
  • Correct operation of the Pose Detection tools isn't guaranteed when using fisheye cameras and other cameras with strong image distortion.
  • The camera tilt angle from top to bottom on a person must not exceed 30°. Otherwise, the detection tool won't operate correctly.
    The following diagrams show the examples of:
    • The acceptable tilt angle:
    • The unacceptable tilt angle:


Lighting
  • Lighting in the scene is at least 50 lux per square meter. 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
Object images
  • The detected object must be clearly distinguishable by the human eye
  • The detected object must be completely within 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 two frames
  • 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 height
For Pose Detection sub-tools
1920x1080Human170~102x309
1280x720Human128~77x233
640x360Human80~48x145
For common sub-tools
1920x1080Human100~45x187
1280x720Human68~31x134
640x360Human35