AI Shoplifting Detection
Detect concealment gestures and theft behavior in real time — before the offender leaves the store. No facial recognition, GDPR-compliant.
What is Shoplifting Detection?
AI shoplifting detection is a behavioral-analysis method that flags theft on the sales floor without facial recognition. Instead of reading faces, Argos tracks body movement, dwell time near high-value displays, and hand-to-item interaction — recognizing concealment gestures (slipping an item into a bag, pocket or clothing) as they happen. Detection runs locally on existing IP cameras with sub-200ms latency and sends a video alert before the offender leaves the store, GDPR-compliant by design.
The Problem
A €49B problem traditional security cannot solve
Retail shrinkage costs European retailers €49B annually, yet EAS gates and human CCTV monitoring catch less than 5% of theft incidents. Professional shoplifters know how to defeat tag-based systems, and guards cannot watch every camera.
How Argos Detects It
Movement Tracking
The behavioral engine tracks body trajectory, speed, and dwell time near high-value displays — flagging patterns that precede theft.
Hand-Item Interaction
Computer vision analyzes hand-to-item interaction vectors: picking up merchandise, concealment gestures toward bags, pockets, or clothing.
Real-Time Alert
Within 200ms, security receives an alert with a video clip and location — enabling intervention before the offender exits.
Key Metrics
Applicable Sectors
Frequently Asked Questions
Does shoplifting detection require facial recognition?
No. Argos analyzes behavior — gestures, movement patterns, and hand-item interactions — never identity. This makes it GDPR-compliant by design and effective against first-time offenders that watchlist-based systems miss.
How does Argos reduce false alarms in busy stores?
The engine distinguishes normal shopping behavior (browsing, comparing items) from theft indicators (concealment gestures, tag manipulation). Context-aware classification keeps false positive rates far below motion-based or EAS systems.
What happens when a theft is detected?
Security staff receive an instant alert with a short video clip, camera location, and severity level. Teams can intervene discreetly before the person leaves — turning detection into prevention rather than after-the-fact evidence.
Related Use Cases
See It on Your Own Cameras
Request a demo and test detection on your existing infrastructure.