“You need to know your algorithm, know your data and know your use case,” said Craig Watson, a manager at NIST. “Because that matters.” Facial-recognition systems misidentified people of ...

Take a look at industries that are able to apply facial recognition systems and algorithms they use. Image search engines are also based on this technology. The facial recognition principle is ...

Drawing on independent testing of more than 150 separate facial recognition algorithms, the new report suggests masks may not be as big a problem for facial recognition systems as initially thought.

The technologies trialed were a mix-and-match of six different image collection systems, paired with ten different matching algorithms ... the CBP's use of faulty facial recognition systems.

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Face masks are one of the best defenses against the spread of COVID-19, but their growing ...

Facial recognition ... algorithms are often set to only report back a match if they have a certain degree of confidence in their assessment. The use of these confidence thresholds can significantly ...

When it’s a device you own or software you use, you may be ... depicted correctly. Every facial recognition system works differently—often built on proprietary algorithms—but you can sort ...

It’s generally not easy to avoid being spotted by face recognition and detection systems because they use a rather solid algorithm to identify faces: Based on the so-called Viola-Jones method ...

IDEMIA has announced that its facial recognition algorithm - 1:N came top among 114 tested systems in NIST’s latest FRVT1. FRVT test results are acknowledged to be the gold standard of the global ...