Obscuring facial recognition
CV Dazzle: Camouflage from Face Detection by Adam Harvey. Clothing tech obscures wearer from facial recognition software Isolde. Age: 20. Treat yourself with me A year-old white male researcher was able to pass himself off as actress Milla Jovovich to facial recognition systems with Sep 8, - Late last week, Amarjot Singh from Cambridge University and his colleagues in India published a study on the arXiv showing that in many cases it is possible to identify a person using facial recognition even when their face is obscured. When people are wearing a hat, scarf, and glasses to cover their faces. Heather. Age: 23. All-natural, sensual southern girl Want to beat facial recognition? Get some funky tortoiseshell glasses Nov 3, - By picking a pair of “geek” frames, with relatively large rims, the researchers were able to obscure about % of the pixels in any given facial picture. The glasses were able to fool both commercial facial recognition software Face++, as well as a more specific model trained exclusively on five researchers. Jan 4, - A new concept technology called HyperFace which attempts to defeat facial recognition software has been created by Berlin-based artist Adam Harvey. Nikolina. Age: 26. Do you have a special desire? ? Please do not hesitate to ask me! Apr 29, - The face appendages aim to trick face detection software by obscuring computer-readable parts of your face. According to Harvey, the key part of the face that computers can read is the "nose bridge," or the area between the eyes. If you can obscure that, you have a good chance of tricking computers into. Nov 3, - Facial recognition software has become increasingly common in recent years. Facebook uses it to tag your photos; the FBI has a massive facial recognition database spanning hundreds of millions of images; and in New York, there are even plans to add smart, facial recognition surveillance cameras to. Jan 28, - Here are a few tips, tricks, and interesting trends that will help you stay ahead of the curve. CV Dazzle offers a number of looks to fool facial recognition services. The site recommends avoiding makeup enhancers, which accent key features, partially obscuring one eye, and developing an asymmetrical look.