AnyVision, Mobotix and Konica Minolta partner for edge facial recognition IoT cameras

The Konica Minolta Business Innovation Center (BIC) and partners Mobotix and AnyVision have jointly announced plans to develop a new biometric facial recognition solution to be embedded into IoT smart cameras.

Facial recognition software from AnyVision will be integrated with the Mobotix 7 app platform for Mobotix cameras, and by performing local biometric matching eliminates costly server overhead, improves data privacy and eases deployment, according to the announcement.

“Facial recognition is a very strong solution to add to our new software ecosystem,” states Mobotix CTO Hartmut Sprave. “We’re excited to work with our strategic partners to expand the capabilities of our cameras to meet the needs of shifting markets.”

Biometric matching at the network edge enables customers to leverage distributed processing for security or access control, the companies say. The lightweight technology improves GDPR compliance, and provides higher confidence in user privacy.

“We have reached a vitally important milestone in facial recognition deployment with this partnership,” says Boris Gokhman, VP of Strategic Partnerships at AnyVision. “We believe facial recognition technology has real-world benefits right now, and there are clear advantages to running our software as an IoT solution.”

The Konica Minolta BIC is run by Konica Minolta Business Solutions U.S.A.

“This is a significant achievement that will empower new market segments with an already immensely powerful tool. We’re eager to continue our close partnerships to explore additional possibilities for customer-driven innovation,” comments JP Parmley, vice president of the Konica Minolta Business Innovation Center.

A number of products have recently been launched for edge biometrics, including new cameras from Bovia and an API and AI processor architecture from Ceva.

Article Topics

Anyvision  |  biometrics  |  biometrics at the edge  |  cameras  |  data protection  |  edge cameras  |  facial recognition  |  IoT  |  on device matching