This study was conducted by the US Commerce Department's National Institute of Standards and Technology (NIST) over several months starting in spring 2020. While the first results coming in during the summer were rather poor, with a 99% error rate in certain cases, technology has considerably evolved to deliver reliable results.
The average error rate is currently around 0.3% without a mask and around 5% with one. In certain cases, masks can cover two-thirds of the face. For their study, the researchers submitted over six million photos to 65 facial recognition algorithms. They concluded that the latest performance rate was comparable to where technology was in 2017 on photos of people without masks.
The results of this study are all the more positive as masks have become increasingly widespread since the onset of the Covid-19 pandemic, and are set to stay that way for several more months (at least). The good news is that facial recognition tools won't suffer from the use of masks in the public sphere and will continue to be able to give reliable results. – AFP Relaxnews
Ren Ecosystem