KUALA LUMPUR, Oct 30 -- SAFR from RealNetworks Inc has announced improved face detection and recognition accuracy for both masked and unmasked faces with SAFR 3.0 release.
According to a statement, SAFR’s 3.0 which is available now, is introducing a new default high sensitivity face detector.
Customers running the high sensitivity face detector will see a 95.1 per cent detection rate and 98.85 per cent recognition accuracy rate for faces covered by PPE face masks — including non-surgical fabric masks of varying patterns — in surveillance-style videos of faces in motion.
Detection efficiency has also been improved when multiple faces are simultaneously in the field of view to ensure detection and recognition speeds remain high.
“SAFR’s accuracy improvements will enable customers to deploy face-based contactless secure access without requiring removal of PPE and ensure persons of interest and registered VIPs don’t go unrecognised while wearing face masks,” said SAFR VP (Computer Vision), Brad Donaldson.
SAFR 3.0 also includes a new mask detection dashboard, enabling customers to anonymously track mask usage rates and view and filter by age, gender, location and time.
More details at https://safr.com/release-notes/
-- BERNAMA
Friday, 30 October 2020
RealNetworks SAFR 3.0 sets new standard for high sensitivity face detector
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