Face recognition now much safer from fraud and deception.
IntelliVision Technologies Corp. (IntelliVision®), a pioneer and leader in Artificial Intelligence and deep learning video analytics software for Smart Cameras and a subsidiary of Nortek Security & Control LLC (NSC), today announced the addition of anti-spoofing to its face recognition technology. IntelliVision anti-spoofing technology ensures that photos, screen-based images or even videos of a known face will not be recognized.
“With the growing popularity of facial recognition for access control, security and personalization, it is inevitable that bad actors will try to fool the system,” said Krishna Khadloya, VP Development for IntelliVision. “Special 3D cameras are too expensive for most applications, so we have implemented a ‘liveness’ test which can be used with regular 2D cameras, embedded or server-based.”
By offering different levels of liveness testing, IntelliVision’s anti-spoofing feature implements security without sacrificing convenience. The system can be configured for fast secure recognition, or highly secure recognition at a slightly slower speed.
IntelliVision face recognition can be implemented on premise servers, over the cloud, or embedded in cameras with multi-core ARM chips such as those from Ambarella and Qualcomm. IntelliVision face recognition will soon be commercially available on NSC’s ELAN intelligent touch panels, adding a new level of intuitive convenience to the home control and automation platform.
Face recognition is increasing in use not just for catching criminals and authenticating employees, but also for adding value through VIP identification in smart retail applications, and adding convenient personalization to the smart home.
The IntelliVision family of video analytics solutions includes object detection and classification (humans, vehicles, pets, airplanes), people/vehicle counting, demographics, intrusion/perimeter watch, object left/removed, license plate recognition (ALPR/ANPR), audio/sound recognition and face recognition.