Casino Table Chip Tracking for Fraud Detection and Bet Accuracy
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Solution Overview
Problem
Existing casino fraud detection systems face challenges in accurately reading stacked chips due to blind spots and camera angles, and cannot detect sophisticated fraud methods like card squeegee or dealer-player conspiracies, leading to inaccuracies in determining game outcomes and chip transactions.
Innovation Solution
A fraud detection system utilizing artificial intelligence and deep learning to analyze images from multiple cameras, recognize chip positions and types, and compare game outcomes with RFID data, detecting fraud through image analysis and card distribution devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras are used to detect fraud in chip collection and payment, then fraud detection capability is improved, but measurement precision deteriorates due to blind spots and camera angles causing inaccurate reading of stacked chips
Solution Approach 1:
The patent transitions from two-dimensional camera imaging to three-dimensional depth information acquisition using LIDAR technology. The LIDAR device emits light and measures the reflected light to obtain depth information about chip stacks, enabling accurate reading of chip positions and quantities even when stacked or obscured, thus resolving the measurement precision problem while maintaining fraud detection capability
Solution Approach 2:
The patent introduces RFID tags as an intermediary technology embedded in chips. These tags enable wireless identification and data storage, allowing the system to verify chip authenticity and track chip transactions without relying solely on visual camera detection. This intermediary approach complements the camera system and overcomes its limitations in reading stacked chips
2Measurement precision
If RFID tags are applied to chips for recognition, then chip identification accuracy is improved, but device complexity increases due to additional hardware components
Solution Approach 1:
The patent designs the RFID tag system to serve multiple functions: chip identification, transaction recording, and data storage. By integrating these functions into a single RFID component, the system achieves high chip identification accuracy without proportionally increasing overall system complexity, as the RFID tag replaces what would otherwise require multiple separate detection and verification mechanisms
3Extent of automation
If image analysis is used to determine chip movement and transactions, then automation level is improved, but measurement precision deteriorates due to inability to detect sophisticated fraud methods like card squeegee
Solution Approach 1:
The patent merges multiple detection technologies into a unified game management system: surveillance cameras for visual monitoring, LIDAR for depth and position detection, RFID for chip identification and transaction verification, and AI algorithms for pattern recognition. This combination enables the system to detect sophisticated fraud methods like card squeegee that would be invisible to single-modality systems, maintaining high automation while improving detection precision
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors game activities, compares actual chip movements with expected patterns based on game rules and RFID transaction data, and automatically identifies discrepancies indicating fraud. The AI algorithms learn from historical data and improve detection accuracy over time, enabling the system to adapt to new fraud methods while maintaining high automation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately determines game outcomes and chip transactions, detecting fraud by recognizing concealed chips and advanced betting methods, ensuring fair game management and preventing dealer-player conspiracies.
Implementation Method 1
a camera obtaining an image by capturing bet gaming tokens
Implementation Method 2
a wireless IC (RFID) tag is applied to each of the chips in order to recognize the numbers or the total amount of bet chips
Data Source
AI summary
A game management system manages a casino game performed in a plurality of tables in casino facilities. The game management system includes: a camera obtaining an image by capturing bet gaming tokens; a control device specifying a betting amount on the basis of the type and the number of gaming tokens in the image by specifying a betting target on the basis of a position of the gaming token in the image; a card distribution device determining a game result of the casino game; an arithmetic device calculating a profit of a casino manager for each table and each game of the plurality of tables, on the basis of the betting target, the betting amount, and the game result; and a recording apparatus recording the profit.