
Those developing and deploying facial recognition (FR) systems have been generally pleased with how things have been going these last few years, including the "Orwellian" ability to identify people even when they are wearing face masks, something widely mandated during the pandemic.
Although the tech had a rocky start, unable in many cases to successfully distinguish faces with masks on them, there has been a steady and rapid increase in the accuracy of these systems.
And they would like to keep it that way - be able to force people to wear masks, and yet identify them by using biometric data points. In order to make sure that deep learning-based FR is performing as expected, a group of researchers have put it to the test.
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