Chip Tray Fraud Detection Using Multi-Angle AI Chip Recognition
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Solution Overview
Problem
Existing casino fraud detection systems face challenges in accurately determining chip amounts due to blind spots and overlapping chips, and cannot detect sophisticated fraud methods like card squeegee or dealer-player conspiracies.
Innovation Solution
A fraud detection system using image analysis and artificial intelligence to recognize chip positions, types, and numbers, and determine win/lose results, with deep learning to handle blind spots and detect fraud through comparison calculations and historical data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image analysis is used to recognize chip positions and amounts, then fraud detection capability is improved, but measurement precision deteriorates due to blind spots and overlapping chips
Solution Approach 1:
The system segments the chip recognition problem into multiple viewing angles by deploying cameras at different positions (above the table and at player positions). Each camera captures chips from its own perspective, and the control device integrates these segmented views to calculate total chip amounts, resolving the issue of blind spots and overlapping chips that prevent accurate measurement from a single viewpoint.
Solution Approach 2:
The system transitions from two-dimensional image analysis to three-dimensional spatial reasoning by using multiple cameras positioned at different heights and angles. The control device calculates chip amounts by integrating data from multiple spatial dimensions, effectively adding a vertical dimension to the otherwise planar chip arrangement on the table surface.
2Measurement precision
If multiple cameras are deployed to eliminate blind spots, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The control device serves multiple functions: it controls the card distribution device for game rules enforcement, analyzes images from multiple cameras, calculates chip amounts, and detects fraud. This multi-functionality consolidates what would otherwise be separate systems into a single control unit, reducing overall device complexity while maintaining measurement precision.
Solution Approach 2:
The system merges the card distribution control and chip recognition functions into a single integrated control device. The card distribution device and camera system are combined under one control architecture, allowing the control device to coordinate card dealing, image capture, and fraud detection in a unified manner, thereby simplifying the overall system structure.
3Speed
If real-time image analysis is performed on all games, then fraud detection speed is improved, but productivity decreases due to processing time
Solution Approach 1:
The system performs preliminary actions by capturing images at specific predetermined timing points in the game flow (when cards are dealt and when settlement occurs). Rather than continuously analyzing all game activities, the control device targets specific moments when chip movements are most critical, enabling efficient fraud detection without processing every game action in real-time.
Solution Approach 2:
The fraud detection operates periodically at key game stages rather than continuously. The control device analyzes chip arrangements at regular intervals corresponding to game phases (dealing, playing, settlement), which maintains detection effectiveness while reducing overall processing load and preserving game throughput.
Data Source
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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.