Casino Chip Tray Monitoring for Fraud and Settlement Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing casino fraud detection systems struggle with 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 a game recording apparatus, image analyzing apparatus, and control device with artificial intelligence and deep learning capabilities to analyze chip positions, types, and amounts, and determine win/lose results, enabling detection of fraud and errors in chip collection and redemption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras are used to monitor chip transactions, then fraud detection capability is improved, but measurement precision deteriorates due to blind spots and overlapping chips
Solution Approach 1:
The system segments the monitoring task into multiple components: multiple cameras capture different views, image analysis software processes each view separately, and a control device integrates the segmented information to determine total chip amounts, overcoming the limitations of single-camera monitoring
Solution Approach 2:
Image analysis software acts as an intermediary between the camera images and the fraud detection system, processing and interpreting the visual data to extract chip information that would be impossible to obtain through simple visual monitoring alone
2Measurement precision
If RFID tags are attached to chips for recognition, then chip amount recognition is improved, but device complexity increases
Solution Approach 1:
Instead of using physical RFID tags on each chip, the system creates visual copies/images of chips through cameras and processes these copies through image analysis, achieving chip recognition without adding physical complexity to the chips themselves
3Measurement precision
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 capture and analysis during the game progression, rather than analyzing everything after the game ends, allowing for real-time or near-real-time fraud detection without significant time loss
Data Source
Figure 1
Figure 2A
Figure 2B
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.