Self-Service POS Fraud Detection Using Action and Input Recognition
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Solution Overview
Problem
Full self-service POS terminals in retail stores are vulnerable to fraudulent activities by customers, necessitating the development of techniques to prevent such acts.
Innovation Solution
A monitoring apparatus equipped with a camera interface, terminal interface, and communication interface, which uses a processor to recognize customer actions and input operations, detect fraudulent acts, and output fraud detection images to the POS terminal and attendant terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full self-service POS terminal is implemented, then personnel expenses are reduced and infection control is improved, but fraudulent behavior by customers increases
Solution Approach 1:
The patent introduces a monitoring apparatus as an intermediary between the customer and the POS terminal. This apparatus includes a camera that captures images of the customer's actions and a processor that analyzes these images to detect fraudulent behavior. The monitoring apparatus acts as a mediator that enables full self-service while providing security oversight, thus resolving the contradiction between reducing personnel expenses and preventing fraud.
Solution Approach 2:
The patent replaces the mechanical system of human staff monitoring with an automated image recognition system. The processor analyzes captured images using pattern recognition algorithms to detect suspicious actions such as not scanning items, swapping items, or attempting to steal. This substitution eliminates the need for additional personnel while maintaining fraud detection capabilities.
2Reliability
If monitoring apparatus is added to detect fraud, then fraudulent acts are detected, but device complexity increases
Solution Approach 1:
The monitoring apparatus is designed to perform multiple functions using a single integrated system. The camera captures images for both security monitoring and operational analysis, the processor performs both image analysis and fraud detection, and the system communicates with the POS terminal to provide comprehensive monitoring. This multi-functionality reduces the need for separate specialized devices, thereby limiting the increase in device complexity while maintaining high reliability for fraud detection.
Data Source
AI summary
A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.