Prevenitas’ development partners video face recognition technology identifies the faces of moving subjects in real-time as they walk naturally without stopping in front of a camera. The benefits of high-speed video analysis enabled by this technology include the prevention of potential incidents through detection of suspicious individuals and recognition of individuals at the gateways of critical facilities.
Using video images from standard cameras for face recognition requires highly-advanced techniques when compared to still images. This is because images are greatly influenced by environmental conditions, such as camera location, image quality, lighting and subject size, in addition to the behavior of a subject, including walking speed, face direction and sight line.
To achieve reliable face recognition of a video image, they have developed feature point extraction technology that enables enhanced face recognition to a level where an individual can be identified with high precision from within a group, even if their face is partially hidden, or the image is taken from different angles. Our facial recognition technology also uses deep learning technologies for face matching to increase accuracy to a level where an individual can be identified by a low resolution face image captured by a distant camera.
Recent advances in biometrics allow software to identify a person’s face from video feeds even in poor light, low-resolution conditions, and in a matter of seconds. This allows safety teams at airports, stadiums, or event facilities to move from passive monitoring to a pro-active scan of faces, capturing their geometric data.
Individuals on a watch list can be identified in real-time, gifting us vital minutes to prevent a tragedy or to minimize risks. The software becomes a tool not only to speed up investigations after the fact, but a way to safeguard and improve the community.
We offer the most advanced identification matching technology today. For ten consecutive years, our partners facial recognition technology has been awarded first place from the U.S. National Institute for Standards and Technology (NIST). The many difficulties with capturing people’s faces, such as odd camera angles, poor lighting, varying facial expressions, film compression, or even the fact that someone is wearing a hat, are now being overcome, according to the NIST report, which ranked our partners software the highest among 16 global vendors that it tested.
Some of the standards met during the testing included:
***Recognizing one individual at a time, as they walked through a crowded area without stopping ***Detecting suspicious individuals at an indoor stadium
***Accuracy and speed of matching to photos already in a database
Our integrated facial recognition and AI technology creates a safe, secure and seamless experience that involves large groups of people. The system interfaces with existing video systems for easy integration. By adding facial recognition and our other biometric technology allows any organization first-class security and frictionless entry access to any venue. Our facial recognition can also be used for access control, to allow your staff to secure employee-only areas with a scan of their face.
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