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Facial Recognition Is Getting Better At Seeing Past Masks
But is that a good thing?
By Charlie Sorrel Charlie Sorrel Senior Tech Reporter Charlie Sorrel has been writing about technology, and its effects on society and the planet, for 13 years. lifewire's editorial guidelines Updated on December 10, 2020 03:05PM EST Fact checked by Rich Scherr Fact checked by Rich Scherr University of Maryland Baltimore County Rich Scherr is a seasoned technology and financial journalist who spent nearly two decades as the editor of Potomac and Bay Area Tech Wire. lifewire's fact checking process Tweet Share Email Tweet Share Email Internet & Security Mobile Phones Internet & Security Computers & Tablets Smart Life Home Theater & Entertainment Software & Apps Social Media Streaming Gaming Key Takeaways
New facial-recognition algorithms are almost 100% accurate at identifying masked faces.This tech could be used to “unmask” protesters.Police already abuse face-recognition, using it for mass-surveillance. Unsplash / Atoms It’s possible that your phone’s face-unlock might finally be able to work while you’re wearing a mask—just in time for the end of the pandemic (and maybe not so good for protesters). Researchers have found that face-recognition algorithms have gotten a lot better at working with just the top of the face, thanks to developers tweaking their algorithms. That’s great news for phone users, but bad news for privacy, and even safety, in some parts of the world. “Face recognition data can be prone to error, which can implicate people for crimes they haven’t committed,” writes the Electronic Frontier Foundation (EFF). “Facial recognition software is particularly bad at recognizing African Americans and other ethnic minorities, women, and young people, often misidentifying or failing to identify them, [and] disparately impacting certain groups.” Better Recognition
A study from the National Institute of Standards and Technology (NIST) looked at 65 face recognition algorithms provided after mid-March 2020. It then compared their effectiveness by digitally adding masks to faces, and doing before/after tests. To run the tests, NIST used border crossing photographs and photos of applicants for immigration benefits. The result? The algorithms are getting better. “While a few pre-pandemic algorithms still remain within the most accurate on masked photos, some developers have submitted algorithms after the pandemic showing significantly improved accuracy and are now among the most accurate in our test," the report states. The best algorithms managed to correctly identify almost all people (a failure rate of just 0.3% for mask-wearers). With high-coverage masks, the failure rate rose to just 5%. Even better, these algorithms falsely accepted “no more than 1 in 100,000 impostors.” Running facial recognition on a bunch of photos, even tricky, poorly captured border-crossing photos, is different from the 3D facial maps generated by phone face-unlock systems, but still. This is a big improvement over the previous test done by NIST. Some developers have submitted algorithms after the pandemic showing significantly improved accuracy. Good News Bad News
Clearly this is good news for phone users. Face ID on the iPhone is something of a liability in COVID times. If you want to use your iPhone for contactless payment via Apple Pay, you first have to unlock the iPhone (by entering your passcode), then activate Apple Pay, and then authenticate once again. With better accuracy comes easier access to your protected data. But this improvement in recognizing masked faces also has its downsides. Protesters often wear masks now, in part because law enforcement takes video and photographs of protests and demonstrations and uses face recognition to identify participants (plus, well, masks prevent the spread of COVID). In the U.K., famous for its blanket CCTV surveillance, live facial-recognition cameras are being deployed by London’s Metropolitan Police. Getty Images / Matthew Horwood Demonstrations are a legitimate form of protest, and recognized as such in democratic countries. And yet police in Baltimore used a private face-recognition company to identify citizens with outstanding arrest warrants during protests several years ago. Even when face recognition is deployed in public under the guise of convenience, law enforcement can’t help but sniff around. In 2017, a Californian golf tournament used cameras to scan attendees and screen VIPs for access to restricted areas. The cameras “eliminated long wait times by accurately identifying media members and tournament staff all while keeping a lookout for known persons of interest to law enforcement by searching against state/local and national law enforcement databases, keeping potential threats away by alerting the appropriate authorities,” writes Sport Techie’s Diamond Leung [emphasis added]. Presently, China is using a facial recognition system from Chinese mobile phone company Huawei to track and spy on Uighur Muslims. This includes an “Uighur alert” feature that identifies people by ethnicity, and flags them to police. In the wake of Black Lives Matter protests, it’s easy to imagine some U.S. police forces deploying such ethnically targeted tech. You Can t Have it Both Ways
We’re well aware of the old tradeoff between security and convenience. It’s convenient to have no password, or to use the name of your dog. But it’s more secure to use a unique, complex (and hard-to-remember) passphrase. Biometrics are already problematic for general ID. It’s easy to get a new credit card number if yours is stolen, for instance. But if your fingerprints are compromised, you’re screwed. And at least fingerprints are easy to control. You can wear gloves, or just not touch something. Your face is out there in public, recordable by anyone. And now, even wearing a mask won’t help. At least you don’t have to pull out a credit card to pay for your groceries. Was this page helpful? Thanks for letting us know! Get the Latest Tech News Delivered Every Day Subscribe Tell us why! Other Not enough details Hard to understand Submit More from Lifewire How to Disable Facebook's Facial Recognition Feature What Are Biometrics? The 10 Best Face Recognition Apps for Android in 2022 What Are Animoji and Memoji? All About the Apple iPhone X How to Unlock an iPhone With an Apple Watch Everything You Need to Know About iPhone Face ID Mobile Technology: AI in Phones How to Set up Android Face Recognition How to Set or Change Your iPad Passcode and Fingerprint How to Fix It When the iPhone Face ID is Not Working How to Fix Common iPhone X Problems How to Remove a Card from Apple Pay with iCloud How to Protect Data on a Lost or Stolen iPhone How to Connect and Use a PS4 Webcam FACE File (What It Is and How to Open One) Newsletter Sign Up Newsletter Sign Up Newsletter Sign Up Newsletter Sign Up Newsletter Sign Up By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookies Settings Accept All Cookies