FOR PUBLIC SAFETY
Facial recognition and person identification from thousands of cameras.
City streets, airports and railway stations, subway, transportation hubs,
malls and government establishments, event venues and stadiums
— Features —
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, EyeNet 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.