Documentation for C-Werk 2.0.

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Make sure the following requirements for abandoned object detection are met:

  1. Camera requirements:
    1. Resolution must be not less than 640х480 pixels.
    2. Color: analytics works both with color and monochromatic images.
    3. It is not allowed to the image shift be more than 1% from the frame size due to camera shake.
  2. Lighting requirements:
    1. Moderate lighting. The quality of analytics performance can be lower in case of low lighting (night) or over lighting (overexposure).
    2. There must be no dramatic changes in lighting.
  3. Scene and camera angle requirements:
    1. Background is mostly static and is not changed.
    2. Incorrect analytics performance can be caused by reflective surfaces.
    3. Abandoned objects are hidden by moving objects not longer than 10% of the time.
  4. Object images requirements:
    1. An abandoned object must be visible on the image.
    2. The digital noise and compression-related artifacts are minimal.

    3. The width and height of the objects in the image must be not less than 1% of the frame size (if resolution is over 1920 pixels) or 15 pixels for lower resolution.

    4. The width and height of the objects in the image must not exceed 25% of the frame size.

If these conditions are in place, the abandoned object detection tool is guaranteed to:

  • detect 92 items out of 100;
  • keep false positives to 20 out of 100.
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