Barcode Scanner Visual Signature Verification for Ticket Switching

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Solution Overview

Problem

Retailers suffer significant losses due to fraudulent activities such as ticket switching, where barcodes of higher-value items are replaced with lower-value barcodes, which is difficult to detect using existing systems.

Innovation Solution

A system and method that utilizes a barcode scanner and camera to capture images of items, extract visual signatures, and compare them with model signatures to detect fraudulent activities by identifying changes in item features.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional barcode scanning is used, then scanning speed and simplicity are maintained, but detection of fraudulent activities (ticket switching) is insufficient

Engineering Contradiction:

Improvefraud detection capabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

A camera is introduced as an intermediary device to capture images of items at the checkout terminal. The camera works in conjunction with the barcode scanner, providing visual verification without replacing the existing scanning system. This intermediary approach enables fraud detection while maintaining the original scanning workflow.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces reliance on manual verification by cashiers with an automated image recognition system. The computer vision algorithm automatically compares captured images against reference images to detect ticket switching, substituting human inspection with machine-based visual analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If visual signature verification is added to detect fraud, then fraud detection accuracy improves, but processing time increases

Engineering Contradiction:

Improvefraud detection accuracyVSAvoidcheckout processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

Reference images of legitimate items are pre-captured and stored in a database before the actual checkout process. During scanning, the system only needs to compare new images against these pre-existing references, significantly reducing processing time compared to analyzing items from scratch.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The image comparison algorithm focuses on key distinguishing features rather than analyzing every pixel in detail. By skipping unnecessary detailed analysis and concentrating on critical visual signatures, the system achieves rapid fraud detection without sacrificing accuracy.

Inventive Principle:

Principle #21Skipping (Rushing through)

Data Source

PatentUS12530699B2Fraudulent activity detection at a barcode scanner by verifying visual signatures

Publication Date: 2026.01.20 NCR VOYIX CORP

AI summary

System and method for detecting a fraudulent activity at a barcode scanner is disclosed. The method issues an alert when the fraudulent activity is confirmed by comparing the visual signature of the item being transacted over the checkout terminal to the model visual signature. The model visual signature is obtained by averaging the collection of visual signature of the item gathered over a period of time. A human validation via a remote processor is employed to confirm the fraudulent activity verified by a computer.