Scan Avoidance Detection for Self-Checkout
Catch simulated scanning in real time and reduce losses from items that never make it into the transaction.
Benefits of Using Scan Avoidance Detection
Scan Avoidance is an AI-powered loss prevention feature that detects when scanning is imitated but the item is not registered in the checkout system.
Flags scan-like gestures that do not result in a registered item.
Adds a control layer where scale-based verification is not available.
Helps identify suspicious non-scans at manned checkouts without assuming intent.
Operates in the background and alerts only when risk patterns appear.
Does not identify individuals and does not collect, process, or store personal data.
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Key Features
Scan Avoidance combines real time video analysis and behavioral pattern detection to identify unscanned items at both self checkout and manned checkout stations, helping stores close critical gaps in checkout control without changing existing workflows.
Real-Time Gesture vs Scan Validation
Analyzes video streams to detect scanning gestures that do not match a completed scan event.
Works Without Security Scales
Designed for environments where there is no weight confirmation to catch missed scans.
Lane-Level Alerts for Store Teams
Alerts staff in real time and pinpoints the specific checkout station for faster response.
FAQ
Quick Overview
Scan Avoidance addresses one of the most difficult checkout risks by verifying that every scan gesture results in a valid transaction, giving stores clear visibility into potential losses while keeping customer privacy fully protected.
Scan avoidance is when someone imitates the scanning gesture, but the product is not actually scanned or added to the transaction.
It is especially effective at self-checkouts without security scales and at staffed lanes where non-scans may occur.
No. It does not identify individuals and does not collect, process, or store personal data.
It analyzes the video stream for scan-like motion patterns and checks whether a corresponding scan event appears in the transaction.
The system alerts the store and identifies the checkout station. The store decides how to respond based on internal procedures.
How It Works?
Scan Avoidance follows the checkout flow and looks for mismatches between scanning behavior and transaction events.
Item Handling
A product is moved through the typical scanning motion at checkout.
Video Stream Analysis
The system analyzes the gesture and item movement in real time.
Transaction Cross-Check
It verifies whether a scan event and basket entry actually occurred.
Real-Time Alert
If a simulated scan is detected, staff are alerted with the specific checkout station.
Ready to Reduce Losses from Missed Scans?
Contact us to see how Scan Avoidance improves checkout accuracy at self-checkout and manned lanes without disrupting operations.
Evaldas Budvilaitis
Co-Founder