Defeating facial recognition

That percentage drops as the number of people goes up, but it is still quite good. This catchall approach to gathering data has recently extended to border security, as the Department of Homeland Security rolls out the tech in airports across the country. It's worth noting that the Ghosts are cool. But even that, Kilpatrick notes, isn't as easy as it is often portrayed in Hollywood movies. I still think from the tips shown that it would be very effective today. MediaShift is the premier destination for insight and analysis at the intersection of media and technology.
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Beyond Masks: Other Options for “Fooling”

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Reflectacles

Below are some tactical and technological defenses against FRT. Tade0 5 months ago This style retcons all those cyberpunk fashion accessories beautifully. But some question whether the use of AFR was necessary in this case. By developing an asymmetrical look, you may decrease your probability of being detected. They're very precise more than we are at measuring the exact locations of specific features, but less good at checking if the picture as a whole could be hiding a person. Yet the kinds of deployments Kilpatrick, Harvey and Acquisti have experimented with aren't how law enforcement and the military envision using facial-recognition programs. But now he's working on an application that will be able to determine what any facial-recognition algorithm, even one never before seen by the user, is looking for.
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CV Dazzle [0] is/was a style of makeup that defeated facial recognition, and it | Hacker News

Even the most sophisticated computer programs can still be fooled — but you have to know what each program is looking for. That was also a relatively controlled situation, because the number of possible faces on campus was limited, and the computing power necessary to recognize random faces is still quite large. Facial recognition carries a 15 percent error rate. While some of this technology has distinct advantages , privacy experts warn that there is the potential for abuse as commercial use grows. The intersection of high fashion, cutting-edge technology, political commentary, and the eternal war for human rights is an incredible thing.
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Facial recognition carries a 15 percent error rate. In the end, Phantom frames should be one of many tools in your privacy toolbox. Facial recognition software is controversial because of its imperfections and its tendency to be used on people without them being aware. However, Kilpatrick and Harvey both investigate facial recognition in controlled settings. They bounce infrared light back at its source, with the goal of preventing IR video cameras from getting a good image of your face — or potentially even registering your face as a face at all.
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