In an update Tuesday, the US National Institute of Standards and Technology looked at 41 facial recognition algorithms submitted after the COVID-19 pandemic was declared in mid-March.

Face masks are one of the best defenses against the spread of COVID-19, but their growing adoption is having a second, unintended effect: breaking facial recognition algorithms.

The US Department of Homeland Security (DHS) is piloting facial recognition technologies that can see through face masks with a "promising" level of accuracy, meaning that travelers could end up ...

Facial recognition algorithms developed before the outbreak struggle to identify people wearing masks or face coverings, according to a new study from the U.S. Commerce Department’s National ...

In 2019, NIST plans to release two more reports on facial recognition accuracy — one detailing the results from an additional 90 algorithms submitted by 49 developers, and another on “demographic ...

Facial recognition algorithms are getting better at recognizing faces in masks, according to data published on Tuesday by the National Institute for Standards and Technology (NIST). Drawing on ...

Face masks are already known to stop the spread of coronavirus. Apparently, they can also make it much harder for facial-recognition software to identify you, too. This is the key finding of a new ...

The nation's top-level intelligence office, the Director of National Intelligence, wants to find "the most accurate unconstrained face recognition algorithm.". A branch of the office, which ...

A new study from the National Institute of Standards and Technology found facial recognition algorithms developed pre-pandemic struggle to identify masked faces. Skip to Content Notice at Collection ...

In 2020, it’s worth assuming that every status update and selfie you upload online can eventually make its way into the hands of an obscure data-mining ...