IntelliVision Adds Face Mask Detection AI Video Analytics
The new analytic was developed using a deep learning neural network and trained on many thousands of images of people wearing face masks.
Face mask detection is the first of a number of products to be released by IntelliVision as part of a broader COVID-19 back-to-work solution, according to the company.
SAN JOSE, Calif. — IntelliVision Technologies Corp., a subsidiary of Nortek Security & Control (NSC) and a pioneer and leader in AI and deep learning video and audio analytics software for smart cameras, announces the addition of face mask detection to its range of real-time video analytics.
The IntelliVision face mask detection analytic was developed using a deep learning neural network and trained on many thousands of images of people wearing many different designs of face masks. In addition to face mask detection, IntelliVision has been providing advanced face recognition analytics for more than 10 years, according to the announcement.
“Face mask detection is the first and most important line of defense in any back-to-work or public access COVID-19 protection strategy,” says Vaidhi Nathan, senior vice president, cameras and analytics, NSC. “The IntelliVision face mask detection analytic ensures that employees, shoppers and customers are complying with safety guidelines, and is designed to send an alert if a mask is not detected. IntelliVision is committed to helping its customers and the market get back to work safely.”
Face mask detection is the first of a number of products to be released by IntelliVision as part of a broader COVID-19 back-to-work solution, according to the company.
The IntelliVision family of AI video and audio analytics solutions includes face recognition, object classification (humans, vehicles, pets, airplanes), intelligent object detection, intrusion/perimeter watch, object left/removed, and license plate recognition (LPR/ANPR).
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