A preliminary study published by a U.S. agency found that even the best commercial facial recognition systems have error rates as high as 50 per cent when trying to identify masked faces.
Having a tough time recognizing your neighbours behind their pandemic masks? Computers are finding it more difficult, too.
Some companies, including those that work with law enforcement, have tried to tailor their face-scanning algorithms to focus on people's eyes and eyebrows. Under ideal conditions, NIST says the failure rate for the best facial recognition systems is only about 0.3%, though research has found significant disparities across race, gender and age. Add masks and the failure rate rises to 5% or worse. When confronted with masks, the agency says, "many otherwise competent algorithms failed between 20% to 50% of the time."
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