NIST Study Shows Accuracy Improvement for Masked Face Scanning
Software developers “have made demonstrable progress at recognizing masked faces” using face-scanning technology, the National Institute of Standards and Technology reported Tuesday (see 2007270065). The highest scoring technology made errors between 2.4 and 5% of the time on masked faces,…
Sign up for a free preview to unlock the rest of this article
Timely, relevant coverage of court proceedings and agency rulings involving tariffs, classification, valuation, origin and antidumping and countervailing duties. Each day, Trade Law Daily subscribers receive a daily headline email, in-depth PDF edition and access to all relevant documents via our trade law source document library and website.
"comparable to where the technology was in 2017 on nonmasked photos,” said NIST study author Mei Ngan. Error rates dropped by as much as a “factor of 10 between their pre- and post-COVID algorithms,” she said. NIST tested technology from Canon, Intel, Panasonic, Samsung and dozens of others.