Face masks not only have shown in research to slow the spread of COVID-19, they also deter facial-recognition technology from correctly identifying people, according to a new study.
New research from the National Institute of Standards and Technology (NIST) found that even the best of 89 commercial facial recognition algorithms tested experienced error rates between 5 percent and 50 percent when matching people in digitally applied face masks with photos of the same person without a mask.
