Theft Detection
Catching the Moment, Not Reconstructing It Afterward.
Retail and warehouse loss is rarely caught in the moment it happens, it's usually discovered afterward, during inventory reconciliation or a loss report, at which point the only recourse is trying to reconstruct what happened from hours of unindexed footage, if the footage is even reviewed at all.
AiVision360's Theft Detection analyzes behavior patterns across covered areas to flag suspicious activity and unauthorized removal of items as it's happening, rather than relying entirely on a person actively watching a monitor and catching it live. Because AI model assignment happens per camera, theft detection can be activated selectively, on the cameras covering stockrooms, checkout areas, high-value storage, or loading bays specifically, without needing to run across every single feed on a site where it isn't relevant or would only generate unnecessary noise.
Detected events are automatically converted into structured incident tickets, each carrying a timestamp, camera and zone reference, an annotated snapshot, a video clip, and a confidence score, so a loss prevention reviewer can quickly assess whether the flagged activity genuinely needs further investigation or escalation, rather than starting from a vague report and an open-ended footage search.
How It Fits Into Your Existing Workflow
Best suited for: stockrooms, checkout areas, high-value storage, loading bays, retail sales floors.
