![]() ![]() Accuracy - to quote New York Times’ journalist Steve Lohr, “ facial recognition is accurate if you’re a white guy.” It becomes a whole lot less accurate if you’re not.However, the same system that is set to assist is open to abuse. no doubt, finding the “bad guys” is a great idea. Running through the list again, we’ll uncover the drawbacks and suggest ways these could be improved. Now that we know the vast potential of this technology, it’s time to dive a little deeper and explore the risks awaiting those using facial recognition. Photo by Sebastian Pichler on Unsplash Criticisms and Risk of Facial Recognition Technology ![]() Kind of like Amazon’s web experience brought into the real world. Thanks to it, one day you could walk into a shop and see the signs change around you to suit your needs.įacial recognition technology can be combined with online analytics and previous purchases to tailor the experience for shoppers and allow them to find what they are looking for faster. Yet, its implementation is still a little bit far from being a real-world experience. While it sounds fantastic, it is a true problem solver for those of us who are prone to forgetfulness. Just step up to the counter, your face is scanned to identify you and your linked bank account, and your purchase is complete. This is the future of facial recognition tech. Imagine never having to bring your card to the shop again. Some facial recognition software providers claim that their products can help monitor blood pressure or pain levels by identifying key facial markers, and this could prove a useful tool in the future for both physicians and end users. However, the very latest tech boasts something more advanced - diagnostic capabilities. At the moment, facial recognition tech is applied to dispense medication based on a facial scan, an innovation in biometric scanning. Medical usesįacial recognition technology is actively used in medicine. In a missing-people investigation, this could lead to breakthroughs by catching the last glimpses of a person and pinpointing their exact location. In 2018, Facebook, amid much criticism, released innovative facial recognition technology which identifies people in photos automatically, even without them being the subject of the picture. One of the starting points for many investigations is to track the person’s movements as close as possible to the time they disappeared.Īgain, the use of surveillance cameras here could prove effective when combined with facial detection software to find the person and track them through a network of cameras.īut it’s not the only option. When people go missing, there is a limited period of time to find them before the odds reduce significantly. In theory, it will be a highly effective system for finding those who commit crimes - think the Boston Bomber, school shooters, and other criminals who present an immediate risk to society. This is an upgrade from the previous system which utilizes databases (the DMV, criminal databases, even a library card) to match a person to a static photo, such as a mugshot. Imagine if these cameras, which reportedly captured an average of 4 billion hours of recordings in a singular week, were integrated with a facial detection system. Catching criminalsīack in 2009, there were approximately 30 million surveillance cameras in use in the US, and now this number has grown exponentially. To fully evaluate the ethical and legal aspects of facial recognition, it’s vital first to understand the use cases. Photo by Steinar Engeland on Unsplash The Potential of Facial Recognition Technology
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