IntelliVision Adds Anti-Spoofing to Facial Recognition Analytics
By offering different levels of liveness testing, the IntelliVision anti-spoofing feature is said to implement security without sacrificing convenience.
The anti-spoofing technology ensures that photos, screen-based images or even videos of a known face will not be recognized, according to the company.
“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,” says Krishna Khadloya, vice president of development, 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, according to the company. 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 multicore ARM chips, such as those from Ambarella and Qualcomm.
IntelliVision’s face recognition will soon be commercially available on Nortek Security & Control’s ELAN intelligent touch panels, adding a new level of intuitive convenience to the home control and automation platform, according to the company.
The company’s 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 facial recognition.
The company’s video analytics products are said to be used in more than five million cameras around the world and are used to provide actionable insights to home, business and security systems.
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