Startup DeepCam emerges from stealth with AI and facial recognition retail product

AI company DeepCam has come out of stealth mode after three years, launching the Retail by DeepCam plug-and-play system for retail loss prevention and operational cost reduction at last week’s ISC West conference.

Retail by DeepCam is designed for multi-location stores, including those that already have a loss prevention system, according to the announcement. It includes proprietary technology for biometric matching among large populations, behaviour analytics, and cross-camera event association. DeepCam Advice identifies shoplifting and suspicious behaviour requiring further attention, and loss prevention personnel review incidents to tag shoplifters, with the system notifying employees so the individual can be stopped and banned from the store.

“When you have a small population, such as an office building, facial recognition is easy,” said Don Knasel, DeepCam Founder and CEO. “Where biometrics fail is with large populations — tens of thousands or hundreds of thousands of people — and that’s what sets our AI technology and recommendation engine apart. Our systems have been proven to work accurately with large populations in the millions.”

Knasel noted that some stores catch as few as 10 percent of shoplifters. DeepCam’s retail offering can improve that number, while also delivering wide-ranging retail intelligence, the company says, such as identifying shopping habits by demographic, or the number of customers at a given time.

A recent report from the National Law Review warned retailers to be prepared for consumer privacy laws to evolve as they consider implementing facial recognition in stores.

Article Topics

biometric matching  |  biometrics  |  DeepCam  |  facial recognition  |  retail biometrics