title=”California gets face scanners to spy on everyone at once”>California gets face scanners to spy on everyone at once
In a single second, law enforcement agents can match a suspect against millions upon millions of profiles in vast detailed databases stored on the cloud. It’s all done using facial recognition, and in Southern California it’s already occurring.
Imagine the police taking a picture: any picture of a person, anywhere, and matching it on the spot in less than a second to a personalized profile, scanning millions upon millions of entries from within vast, intricate databases stored on the cloud.
It’s done with state of the art facial recognition technology, and in Southern California it’s already happening.
At least one law enforcement agency in San Diego is currently using software developed by FaceFirst, a division of nearby Camarillo, California’s Airborne Biometrics Group. It can positively identify anyone, as long as physical data about a person’s facial features is stored somewhere the police can access. Though that pool of potential matches could include millions, the company says that by using the “best available facial recognition algorithms” they can scour that data set in a fraction of a second in order to send authorities all known intelligence about anyone who enters a camera’s field of vision.
“Live high definition video enables FaceFirst to track and isolate the face of every person on every camera simultaneously,” the company claims on their website.
“Up to 4 million comparisons per second, per clustered server” — that’s how many matches a single computer wired to the FaceFirst system can consider in a single breath as images captured by cameras, cell phones and surveillance devices from as far as 100 feet away are fed into algorithms designed to pick out terrorists and persons of interest. In a single setting, an unlimited amount of cameras can record the movements of a crowd at 30-frames-per-second, pick out each and every face and then feed it into an equation that, ideally, finds the bad guys.