A shopper reaches for a cart, glances at the weekly deals sign, and strolls through the entrance. In the time it takes to pocket a phone, a camera has already captured that face, built an encrypted biometric template, and compared it against a store watchlist. This is grocery shopping in 2025, and it is already happening at several Grocery Outlet locations across the San Francisco Bay Area, according to reporting from KQED and Biometric Update. SAFR Guard launched in April 2025 as an AI-powered surveillance app built for retail loss prevention. Signs posted at participating store entrances inform customers the technology is active. That notification is, effectively, the full extent of shopper involvement in the decision. Grocery stores are starting to deploy a new system called SAFR Guard, it's a facial recognition software Here's how it works – A camera captures your face when you enter the store – It then turns your photo into a biometric map – It checks it against a private watchlist for… pic.twitter.com/1rRiOdRqsy— Wall Street Apes (@WallStreetApes) July 22, 2026 The mechanics are straightforward. An edge-computing camera scans faces at entry and checks each one against a watchlist built from retailer-submitted incident reports covering suspected shoplifters and violent offenders. SAFR reviews each submission before anyone is added. For cases involving violence or high-dollar theft, records can be shared across participating stores within the same geographic area — a neighborhood watch program, but with biometric teeth. Here is where SAFR's reassurances and its own policies begin to diverge. According to Biometric Update reporting, the data retention terms break down like this: - Non-match face templates are deleted within one second, per SAFR - Encrypted images of non-flagged shoppers are retained for up to 30 days - Local camera footage is stored for 30 days - Flagged