Casino Chip Tray Fraud Detection Using Depth and RFID Tracking
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Solution Overview
Problem
Existing casino fraud detection systems face challenges in accurately determining the total amount of chips due to blind spots and overlapping chips, and cannot detect sophisticated fraud methods like card squeegee or dealer-player conspiracies, leading to undetected errors in chip collection and redemption.
Innovation Solution
A fraud detection system using a game recording apparatus, image analyzing apparatus, and control device with artificial intelligence and deep learning capabilities to analyze chip positions, types, and numbers, and compare pre- and post-game chip tray amounts, while also determining card ranks and suits to detect fraud.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras are used to monitor chip movement, then fraud detection capability is improved, but measurement precision deteriorates due to blind spots and overlapping chips
Solution Approach 1:
The patent transitions from two-dimensional camera imaging to three-dimensional depth information acquisition using time-of-flight (ToF) cameras. This dimensional change enables accurate chip recognition even when chips overlap or are in blind spots, as the depth information provides additional spatial context that resolves ambiguities in 2D images.
Solution Approach 2:
The patent introduces RFID tags as intermediary elements attached to chips. These tags emit radio frequency signals that can be detected by RFID readers, providing an additional information channel independent of visual line-of-sight. This intermediary mechanism allows chip identification and tracking without requiring direct camera visibility, thus overcoming blind spot limitations.
2Measurement precision
If RFID tags are attached to chips for recognition, then chip identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple detection technologies (ToF camera, RFID reader, image analysis, depth mapping) into an integrated fraud detection system. Rather than using these as separate independent systems, they are merged into a unified platform where data from each component feeds into a common analysis engine, reducing operational complexity despite the multiple underlying technologies.
Solution Approach 2:
The system is designed with multi-functionality to handle various chip types, game scenarios, and fraud detection modes through a single integrated platform. The ToF camera and RFID readers can serve multiple purposes: chip identification, position tracking, quantity verification, and fraud detection, eliminating the need for separate specialized systems for each function.
3Reliability
If image analysis is used to track chip movement, then fraud detection in chip collection is improved, but detection of sophisticated fraud methods deteriorates
Solution Approach 1:
The system implements continuous feedback loops where the fraud detection apparatus constantly monitors chip positions, compares expected versus actual chip movements, and adjusts detection parameters in real-time. The comparison between calculated chip amounts (based on game outcomes) and actually detected chip amounts provides feedback that can identify sophisticated fraud patterns that deviate from normal gameplay.
Solution Approach 2:
The patent performs preliminary actions by pre-establishing expected chip movement patterns based on game rules and outcomes before actual fraud occurs. The system calculates what chip positions and amounts should be at each game stage, creating a baseline for comparison. This preliminary framework enables the detection of deviations caused by sophisticated fraud methods like card squeegee or dealer-player conspiracies.
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.