Self-Checkout Fraud Prevention
Detect scan avoidance, barcode switching, and pass-arounds at self-service checkouts — without slowing honest customers down.
What is Self-Checkout Fraud Prevention?
Self-checkout fraud detection is computer-vision monitoring that catches loss at self-service tills without slowing honest customers. Argos analyzes the scan area to detect scan avoidance (passing an item without scanning), barcode switching, and pass-arounds, then alerts staff with video context. It runs on the store's existing cameras at the edge, uses no facial recognition, and is GDPR-compliant.
The Problem
Self-checkout doubles shrinkage risk
Retailers with self-service checkouts report shrinkage rates up to twice as high as staffed lanes. Deliberate scan avoidance, barcode switching, and 'banana tricks' are nearly impossible for staff to spot across multiple kiosks.
How Argos Detects It
Scan Verification
The AI correlates each hand-item movement with a scan event. Items that pass the scanner without a registered scan are flagged instantly.
Barcode-Switch Detection
Product recognition detects when the scanned barcode does not match the visual product category — the classic 'expensive item, cheap label' fraud.
Assisted Intervention
Staff receive a discreet notification with the kiosk number and video evidence, enabling a polite service check instead of a confrontation.
Key Metrics
Applicable Sectors
Frequently Asked Questions
Does fraud detection slow down the checkout experience?
No. Analysis runs passively on existing camera feeds with no extra customer steps. Honest shoppers notice nothing; only genuine anomalies trigger a staff-side notification.
Can Argos tell accidental misses from deliberate fraud?
Yes. The engine scores patterns: a single missed scan reads differently from repeated avoidance, barcode swapping, or systematic pass-arounds. Staff see a severity level, so genuine mistakes get a service response, not an accusation.
Which self-checkout systems does Argos work with?
Argos is checkout-vendor-agnostic. It uses overhead camera feeds and can correlate with POS scan logs where available — no modification of the checkout hardware or software required.
Related Use Cases
See It on Your Own Cameras
Request a demo and test detection on your existing infrastructure.