Washington Post

Top facial recognition tech is thrown off by masks, study says, but that could soon change

Companies are rushing to develop software that can make identifications based only on facial features that are still visible with a mask, such as eyebrows. Foto: AP/David J. Phillip

Masks are confusing many commercial facial-recognition systems, a new study finds, leading to error rates as high as 50%.

A preliminary study published Monday by the National Institute for Standards and Technology found that facial-recognition algorithms could be tripped up by such variables as mask color and shape. But industry players already are working on software that adjusts for masks - a requirement in many public spaces to contain the spread of covid-19 - which the NIST also plans to study this summer...

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