Fraud behavior recognition device, control program thereof, and fraud behavior recognition method
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Solution Overview
Problem
Self-service POS terminals in retail stores face challenges in detecting and preventing fraudulent activities due to reduced oversight and interaction with employees, necessitating additional technologies for fraud detection.
Innovation Solution
A fraud behavior recognition device and method that utilizes cameras and processor units to recognize customer behaviors and operations on self-service POS terminals, detecting fraudulent actions by analyzing images and monitoring screen data, and notifying attendants of suspicious activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If self-service POS terminals are introduced to reduce labor costs and prevent disease transmission, then operational efficiency and hygiene are improved, but fraud detection capability deteriorates due to reduced employee oversight
Solution Approach 1:
The patent introduces an intermediary fraud detection system comprising cameras, processors, and analysis software that mediates between the customer and the POS terminal. This intermediary system captures images, analyzes customer behaviors, and detects fraudulent activities without requiring direct employee intervention, thus maintaining operational efficiency while restoring fraud detection capability
Solution Approach 2:
The patent replaces the mechanical system of human employee oversight with an automated image recognition and analysis system. The processor analyzes captured images to detect fraud behaviors, substituting human monitoring with automated technological monitoring that maintains fraud detection while reducing labor requirements
2Reliability
If automated fraud detection systems are implemented, then fraud detection capability is improved, but device complexity increases due to additional cameras and processing units
Solution Approach 1:
The patent designs the fraud detection device with multi-functional components that serve both fraud detection and operational purposes. The same imaging system used for monitoring can also verify transactions, and the analysis system handles multiple types of fraud detection simultaneously, reducing overall system complexity through functional consolidation
Solution Approach 2:
The fraud detection system is designed to operate autonomously without requiring constant human intervention. The processor automatically analyzes images, identifies fraud patterns, and generates alerts independently, making the system self-sufficient and reducing the operational complexity of managing additional detection infrastructure
Data Source
AI summary
A detection device for detecting a fraud behavior of a customer at a point-of-sale (POS) terminal in a store, including a first interface circuit configured to receive a first image of the customer from a camera, a second interface circuit configured to receive a second image that is displayed on the POS terminal, and a processor configured to acquire one or more first images via the first interface circuit and determine one or more behaviors of the customer based on the acquired first images, acquire one or more second images via the second interface circuit and determine, based on the acquired second images, one or more operations that have been made by the customer on the POS terminal, and determine that one of the behaviors is fraudulent based on one or more of the operations that have been made by the customer before said one of the behaviors.