SAFR® from RealNetworks Launches Version 3.0
SAFR Version 3.0
An Extraordinary Facial Recognition Solution!
Enhanced COVID-19 response features and a new level of visibility and situational awareness with highly accurate, AI-powered facial recognition.

What’s New?

High Sensitivity Face Detector
SAFR is now more accurate than ever. With the implementation of a new high sensitivity face detector, customers can see improvements in the following key performance areas:

  • Overall detection of faces: Improved detection efficiency when multiple faces are in the field of view simultaneously.
  • Detection of masked faces: Improved detection of faces in surveillance video when covered by PPE face masks — from ~65% to ~95% detection rate — including surgical style masks and those constructed of patterned fabric design.
  • Recognition of masked faces: With nearly 50% more masked faces detected, face recognition accuracy improvements for masked faces are amplified to achieve drastic increases in effective masked face recognition performance.

The high sensitivity face detector is the default configuration for customers running SAFR’s video processing service on Windows. In order to maintain optimal recognition speed, it is recommended for GPU-equipped hardware, and is the standard for processing video at the edge in cameras running SAFR Inside. For deployments detecting many faces at a time, the high sensitivity face detector also provides the advantage of being less computationally costly.

Improved Face Recognition for Masked Faces
SAFR has dramatically increased recognition accuracy for masked faces. With 98.85% recognition accuracy for masked faces in the wild, SAFR can reliably recognize faces obscured by PPE.  These accuracy improvements enable contactless secure access without requiring removal of masks, as well as reduce the potential of persons of interest or known VIPs from going unrecognized while wearing face masks.

See it in Action:

Mask Detection Improvements & Mask Usage Dashboard 
SAFR’s mask detection has been improved to 95.1% in the wild and a new mask usage dashboard has been added to SAFR. Breakdowns by age, gender, camera, and time are now available to help customers better track and analyze mask policy compliance.