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Metadata is information that describes object-related content in the camera FOV.

In Axxon One , metadata can be obtained in two ways:

  1. By analyzing video streams stream on Server by detection tools.
  2. By receiving metadata from camera built-in analytics (see Embedded Detection Tools). 

The following tools are used for server-side analysis and metadata generation:  

Note
titleAttention!

To extract metadata from video, you have to de-compress and analyze the video stream, which increases the Server's workload, thus limiting the number of available camera channels.

The following tools are used for server-side analysis and metadata generation:

  1. Object Tracker.

  2. Neural Tracker.

    Info
    titleNote

    Object tracker and Neural Tracker generate metadata containing the following information about moving objects in FOV: object type, position, size and color, motion speed and direction, etc.


  3. VMD.

    Info
    titleNote

    VMD generates less accurate data. It does not detect object type and color.


  4. Face detection tools.

    Info
    titleNote

    Face detection metadata contains facial face bounding boxes and their positions, as well as facial face vectors.


  5. Automatic Number Plate Recognition (LPR/ANPR) tools.

    Info
    titleNote

    ANPR metadata contains license plate bounding boxes and their positions, as well as vehicle registration numbers.


  6. Pose detection.

    Info
    titleNote

    Metadata from pose detection tools contains information on positions and pose (skeleton) of all people in FOV. 


  7. Equipment detection tool (PPE)Personal protective equipment detection tools.

    Info
    titleNote

    Equipment detection metadata contains information about the position of all the people in FOV.


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