I am testing recognition with masks and finding false positive matches that is raising concerns for their use case.  How can I reduce false recognitions.


With masked faces, there is very little information for SAFR to differentiate two false with.  Therefore, SAFR may show a higher percentage of false positive matches.  You can increase the recognition threshold specific to mask faces as follows to reduce the chance of a false positive.


To reduce number of false positive with masked faces you can make the following adjustments:

  • Reduce “Masked face threshold offset” slightly (e.g. to -0.05 or -0.1)
  • Increase “Minimum recognitions to lock onto identity” to 2 or 3

Following shows these settings in SAFR Desktop Preferences.