Usually the creator of the algorithm does this by “training” it with photos of faces. The detection phase of facial recognition starts with an algorithm that learns what a face is. This process is used for verification, such as in a security feature on a newer smartphone, or for identification, which attempts to answer the question “Who is in this picture?” And this is where the technology steps into the creepier side of things. Recognition is the attempt to confirm the identity of a person in a photo.Although analysis can suffer from glitches, particularly involving misidentification, that’s generally problematic only when the faceprint is added to a recognition database. Analysis (aka attribution) is the step that maps faces-often by measuring the distance between the eyes, the shape of the chin, the distance between the nose and mouth-and then converts that into a string of numbers or points, often called a “faceprint.” Goofy Instagram or Snapchat filters use similar technology (video). ![]() On its own, it isn’t nefarious-face detection only focuses on finding a face, not the identity behind it. If you’ve ever used a camera that detects a face and draws a box around it to auto-focus, you’ve seen this technology in action. Detection is the process of finding a face in an image.Every facial recognition system works differently-often built on proprietary algorithms-but you can sort out the process into three basic types of technology: Most people have seen facial recognition used in movies for decades (video), but it’s rarely depicted correctly. But as moratoriums expire and the technology behind facial recognition gets better and cheaper, society will need to answer big questions about how facial recognition should be regulated, as well as small questions about which services we’re each willing to use and which privacy sacrifices we’re each willing to make. Concerns about that ubiquity, amplified by evidence of racial profiling and protester identification, have caused major companies, including Amazon, IBM, and Microsoft, to put a moratorium on selling their software to law enforcement. When it’s a device you own or software you use, you may be able to opt out of or turn off facial recognition, but the ubiquity of cameras makes the technology increasingly difficult to avoid in public. ![]() While many people interact with facial recognition merely as a way to unlock their phones or sort their photos, how companies and governments use it will have a far greater impact on people’s lives. Facial recognition-the software that maps, analyzes, and then confirms the identity of a face in a photograph or video-is one of the most powerful surveillance tools ever made.
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