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  1. Appearance in area – a detection tool is triggered by the appearance of an object and subsequent face capture in FoV.
  2. Loitering in area –  a detection tool triggered by the lengthy presence of an object  and its face capture  in FoV.
  3. Face recognition evasion detection - triggers when anyone in scene wears dark glasses or covering masks, or uses other masking tricks.

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Info
titleNote

These detection tools require Addon Face Recognition Pack to be installed (see Installing DetectorPack add-onsaddons).


Note
titleAttention!

With an increase in the number of faces in the database, the statistical error increases: the more faces in the database, the more often similar faces will be recognized when searching in the archive. Accordingly, the degree of similarity when comparing the reference face with the captured face will decrease.

This statistical error is relevant if:

  1. The Camera requirements for facial detection are met.
  2. The database contains over a million faces.

An example of the results of calculating the error:

  1. Tevian moduleFace detector, mugshot dataset (good quality photo), 12 million faces in database, and false matching probability is 0.003%. With these initial data, the researchers obtained an identification error of 0.76%.
  2. VisionLabs moduleFace detector (VL), the initial data are the same. The identification error is 0.81%.

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