Chip-Tray Image Analysis for Casino Fraud Detection
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Solution Overview
Problem
Existing casino fraud detection systems face challenges in accurately determining chip amounts due to blind spots and chip overlap, and are unable to detect sophisticated fraud methods, particularly in card games like baccarat where card slanting occurs, and fail to prevent fraud by dealers and players conspiring together.
Innovation Solution
A fraud detection system utilizing a game recording apparatus, image analyzing apparatus, and control device with artificial intelligence and deep learning capabilities to analyze game progress, determine chip and card positions, and compare actual vs. expected chip amounts, ensuring accurate fraud detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras are used to monitor chip movements, then fraud detection capability is improved, but measurement precision deteriorates due to blind spots and chip overlap
Solution Approach 1:
The system divides the monitoring task into multiple specialized image analyzing apparatuses, each responsible for specific areas or aspects of chip monitoring. This segmentation allows each apparatus to focus on particular regions, reducing blind spots and improving overall measurement precision while maintaining comprehensive fraud detection coverage.
Solution Approach 2:
The patent introduces multiple viewing angles and dimensions for chip monitoring by deploying cameras and image analyzing apparatuses from different positions. This multi-dimensional approach allows the system to overcome single-view blind spots and accurately determine chip amounts even when chips overlap, by analyzing the same objects from multiple spatial perspectives.
2Speed
If RFID tags are attached to chips for recognition, then chip identification speed is improved, but device complexity increases
Solution Approach 1:
Instead of using physical RFID tags on each chip, the system creates optical copies and digital representations of chips through image analysis. The image analyzing apparatus captures chip images and extracts identification information, effectively copying the chip's identity data into a digital format that can be processed rapidly without requiring physical tags or complex hardware modifications to each chip.
3Reliability
If image analysis is performed on recorded game progress, then fraud detection accuracy is improved, but loss of time increases due to processing requirements
Solution Approach 1:
The system performs preliminary image analysis and chip recognition continuously during the game, rather than waiting until the end. By analyzing chip positions and movements in real-time as the game progresses, the system prepares fraud detection data in advance, reducing the processing time required when actual fraud detection is needed while maintaining high accuracy through ongoing analysis.
Data Source
AI summary
A fraud detection system which detects fraud in a game of performing collection and redemption of chips in accordance with a win or lose result includes a camera which captures an image of chips contained in a chip tray of a dealer, an image analyzing apparatus which analyses the image captured by the camera to detect an amount of the chips contained in the chip tray, a card distribution device which determines a win or lose result of a game, and a control device which compares the win or lose result of the game and the amount of the chips contained in the chip tray before and after collection and redemption of the chips to detect fraud.