Chip Tray Settlement Verification for Casino Fraud Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing casino fraud detection systems face challenges in accurately determining chip amounts due to camera blind spots, chip stacking, and advanced betting methods, and fail to detect fraud involving dealers and players through simple detection of winning amounts.
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, recognize chip positions and types, and compare chip amounts before and after settlement, detecting fraud through image analysis and win/lose results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras are used to detect fraud, then fraud detection capability is improved, but measurement precision deteriorates due to camera blind spots and chip stacking
Solution Approach 1:
The system segments the fraud detection process into multiple independent analysis components: image analysis for chip position and type recognition, RFID reading for chip amount verification, and control device coordination for comprehensive fraud detection. This segmentation allows each component to specialize in specific tasks, overcoming the limitations of单一 surveillance camera systems.
Solution Approach 2:
The system introduces an intermediary RFID reading device between the surveillance camera and the chip amount determination process. The RFID device acts as a mediator that provides accurate chip amount data to complement the visual information from cameras, resolving the precision problem caused by blind spots and chip stacking.
2Device complexity
If simple detection of winning amounts is used, then device complexity is reduced, but fraud detection capability deteriorates as it cannot detect advanced betting methods
Solution Approach 1:
The control device is designed with multi-functionality to perform diverse fraud detection tasks: analyzing image data for chip positions, reading RFID tags for chip amounts, determining win/lose results, and coordinating settlement verification. This universal device replaces multiple specialized devices while enhancing fraud detection capability against advanced betting methods.
Solution Approach 2:
The system implements feedback mechanisms where the control device continuously compares the sum of player chips with dealer chip tray changes, and verifies settlement amounts against win/lose results. This feedback loop enables detection of sophisticated fraud patterns by identifying inconsistencies that simple detection systems would miss.
3Measurement precision
If RFID tags are attached to each chip, then chip amount recognition is improved, but device complexity increases
Solution Approach 1:
The system merges the RFID reading function with the existing surveillance camera system and control device. Rather than creating a separate complex RFID infrastructure, the RFID reader is integrated into the existing fraud detection framework, combining multiple functions (visual monitoring, RFID reading, fraud analysis) into a unified system that manages complexity effectively.
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.