To help vendors improve their facial recognition technology, the Department of Homeland Security held a competition to find the best facial recognition technology.

4. How Accurate Is Facial Recognition? Facial recognition is improving rapidly, but while algorithms can achieve very high performance in controlled settings, many systems have lower performance when ...

As such many U.S.-made algorithms “learn” by looking at more white faces, which fails to help them recognize people of other races. Using diverse training sets can help reduce bias in FRT ...

Algorithms are being developed to overcome anti-facial-recognition tools, so it could get tougher to outsmart them. The software's accuracy depends on factors like motion, light conditions, and ...

So far, there are at least five known cases in which police use of facial-recognition algorithms have led to mistaken-identity arrests in the United States. All five were Black men.

A symbolic representation of the power of face recognition tools Face recognition algorithms can be foiled by a dab of strategically applied make-up that is subtle enough not to draw human ...

Whichever route they took, they had to test the images on a well-known object detection system called YOLO, one of the most commonly-used algorithms in facial recognition software.