There are thousands of cameras integrated into the urban landscape nowadays. Those cameras can easily be used to track and locate individuals, like suspected criminals or members of terrorist groups. A task that was formerly impossible on a country or citywide scale is now effortless.
According to recent studies, an average law enforcement officer can remember no more than several dozen wanted faces, and even then it's impossible to check every individual's ID.
FindFace's state-of-art facial recognition technology combines extremely high accuracy and search performance, allowing for large-scale deployments capable of video stream processing from thousands of sources and several billions photos in a searchable database.
Accuracy of more than 95% allows reliable identification of wanted individuals, even if they try to avoid surveillance cameras by looking away or covering their face. The ability to enroll an unlimited number of photos per individual further improved identification accuracy.
Higher algorithm efficiency enables lesser hardware to more highly perform. With very fast indexed search, scalable to billions of faces, there is virtually no limit to a number of photos you can store for quick identification.
Thanks to its high accuracy and tolerance to head position and obstructions, FindFace can take video streams from existing cameras throughout the city or specialized cameras optimized for face recognition, and process those streams either locally or at a centralized data center.
Once an individual is reliably identified, law enforcement personnel can receive alerts on their radios or mobile devices, allowing nearly instantaneous response to approach and contact a target.
Mobile law enforcement personnel may perform spot-checks of suspicious individuals, further improving safety and preventing blacklisted people (such as a fan banned from a sports stadium) from entering the facility.