Fraud Detection Controller Using Camera Imaging for POS Terminals
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Solution Overview
Problem
Existing self-service POS terminals struggle to detect fraudulent acts, such as replacing registered commodities with others of the same weight, as weight meters only alert to discrepancies in net weight.
Innovation Solution
A fraudulent act recognition device is implemented, which includes a controller that monitors operations via a camera, recognizes commodity registration actions, and determines if they indicate fraudulent behavior, providing notifications accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a weight meter is used to detect fraudulent acts, then weight-based fraud (bagging without registration) can be detected, but replacement fraud (swapping with same-weight commodities) cannot be detected
Solution Approach 1:
The patent introduces imaging data as an intermediary between the weight meter and the fraud detection system. The camera captures images of commodities on the weighing table, and image recognition technology identifies commodity types. This intermediary allows the system to detect not only weight changes but also commodity identity, thereby preventing replacement fraud where commodities of the same weight are swapped.
Solution Approach 2:
The patent merges the weight meter detection function with the camera image recognition function into a unified fraud detection system. The controller integrates both weight change data and commodity identification data to comprehensively determine whether fraud has occurred. This combination allows the system to detect both traditional weight-based fraud and sophisticated replacement fraud that weight meters alone cannot identify.
2Device complexity
If only weight meters are used for fraud detection, then the system remains simple, but it cannot identify replacement fraud with same-weight commodities
Solution Approach 1:
The patent makes the detection system multi-functional by equipping it with both weight measurement capability and image recognition capability. The same controller manages both functions, allowing the system to perform multiple detection tasks (weight verification and commodity identification) without proportionally increasing complexity. This universal approach enables comprehensive fraud detection while maintaining system integration and ease of operation.
3Reliability
If camera monitoring is added to detect fraudulent acts, then replacement fraud can be detected, but system complexity and cost increase
Solution Approach 1:
The patent implements self-service functionality where the camera system automatically captures images and the controller automatically performs image recognition and fraud analysis without requiring manual inspection. The system serves itself by autonomously processing imaging data alongside weight data, reducing the need for additional personnel or complex manual procedures despite the added hardware complexity.
Data Source
AI summary
A fraudulent act recognition device is configured to be operatively coupled to a camera that monitors operation of a settlement terminal by a purchaser. The fraudulent act recognition device includes a controller configured to recognize a commodity registration operation of the settlement terminal initiated by the purchaser. The controller is configured to review imaging data provided by the camera to recognize an action of the purchaser who performs the commodity registration operation. The controller is configured to determine whether an action of the purchaser is indicative of a fraudulent act. The controller is configured to provide a notification in response to a determination that the action of the purchaser is indicative of the fraudulent act.