For privacy-minded people who are skeptical of public health arguments in favor of face masks, the pandemic may prove to be less of a reason to wear face coverings than an excuse to do just that. And we may as well throw in sunglasses and a hat, just to be sure………
Face Masks Confuse Facial Recognition Technology
Americans can’t agree on whether face masks are a good way to reduce the threat of transmitting COVID-19. We’ve even turned mask-donning into a symbol of partisan affiliation; those who would make them compulsory everywhere face off against those who refuse them under all circumstances. But we should at least be able to agree that face coverings are a great way to defeat the surveillance state—especially now that the U.S. government has conceded that masks confuse the hell out of facial recognition technology.
“Using unmasked images, the most accurate algorithms fail to authenticate a person about 0.3% of the time,” the U.S. National Institute of Standards and Technology (NIST), a federal agency, reported last week. “Masked images raised even these top algorithms’ failure rate to about 5%, while many otherwise competent algorithms failed between 20% to 50% of the time.”
Notably, the NIST test focused on one-to-one matching of a face against a single photo, as you might do to unlock a cellphone or at a passport checkpoint. One-to-one systems are carried out under conditions of near-ideal lighting and camera placement, and so are more reliable than one-to-many matches of faces against databases that are conducted during surveillance of public places. Masks should be expected to be even more effective at increasing failure rates of one-to-many facial recognition systems.
“The more of the nose a mask covers, the lower the algorithm’s accuracy,” the NIST report adds of the digitally simulated coverings used in the study. “The study explored three levels of nose coverage—low, medium and high—finding that accuracy degrades with greater nose coverage.” Continue reading “”