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titleNote

Faces can also be masked on live video if the Face detection tool is in use – module is usedsee Configuring Face detection tool.

Perform Configure the following settings to make the face masking function available:

  1. Install Detector Pack 2.6 or newer for the Remote Administrator’s workstation (if you want to mask faces on the Remote Client, install Detector Pack 2.8 or newer). The installation kit distribution package and documentation are available on the AxxonSoft website: https://www.axxonsoft.com/resources/downloads/intellect.php
  2. Enable the 64-bit modules see Configuring of using 64-bits modules.
  3. Select the export mode with data conversion and recompression in the AviExport utility see Select export mode.

As a result of the above steps, the Face masking checkbox becomes availablewill be available in the AviExport utility. If it the checkbox is set, then a mask appears over the faces in the exported file.

Example of face masking in the exported video:

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This function is configured using the SmallFacesDetector.config configuration file located in the Intellect software installation  installation directory in the Modules64/caffewrapper folder. The following options parameters can be configured:

  • mode – modecalculation mode: CPU or GPU.
  • deploy_file, model_file – fileneural network configuration file. At the time of this instruction publishingcreating the documentation, there are only those configuration files that are used by default, so it is not required to change these parameters.
  • count_classes – classesnumber of classification classes (default 2). Do not change this setting.
  • trek_trsh – trshnew face tracking threshold (default 0.2). After exceeding this threshold, face tracking is carried out taking into account the result_filter parameter.
  • result_filter – filterconfidence threshold (default 0). If the result of face recognition on the exported video is reliable with a probability above the specified threshold, then the face is considered detected. The higher the value, the less likely the false face recognition, but the greater the likelihood of skipping.