Detect scan avoidance, barcode switching, and pass-arounds at self-service checkouts — without slowing honest customers down.
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.
The AI correlates each hand-item movement with a scan event. Items that pass the scanner without a registered scan are flagged instantly.
Product recognition detects when the scanned barcode does not match the visual product category — the classic 'expensive item, cheap label' fraud.
Staff receive a discreet notification with the kiosk number and video evidence, enabling a polite service check instead of a confrontation.
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.
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.
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.
Request a demo and test detection on your existing infrastructure.