Mobile Camera Bonus Fraud Detection in Gaming Systems
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Solution Overview
Problem
Existing gaming systems lack effective methods for detecting bonus redemption fraud, which can lead to unfair advantages and financial losses for casinos.
Innovation Solution
A method is introduced that utilizes a camera on a mobile device to capture an image of a player's game play, which is then analyzed by a server to identify a symbol matrix. The server validates the symbol matrix to determine if a bonus condition is met, compares it against other bonus redemptions for the same game, and denies payment if the request is fraudulent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a camera on a mobile device captures images of game play for bonus redemption, then player convenience and accessibility are improved, but the system becomes vulnerable to fraud
Solution Approach 1:
The system performs preliminary validation of the symbol matrix by comparing it against previously redeemed bonuses for the same game before approving payment. This preventive check stops fraudulent claims before they can be processed, addressing the reliability concern while maintaining the convenient mobile capture approach
Solution Approach 2:
The system implements a feedback mechanism where captured images are analyzed and validated against a database of previously redeemed bonuses. The server provides feedback on whether the symbol matrix is legitimate or fraudulent, enabling real-time fraud detection while preserving the ease of mobile-based bonus redemption
2Measurement precision
If the server analyzes captured images to validate symbol matrices, then fraud detection accuracy is improved, but processing time and system complexity increase
Solution Approach 1:
The system extracts only the essential symbol matrix information from the captured game images for validation purposes, rather than analyzing entire images or unrelated data. This selective extraction maintains high fraud detection accuracy while reducing the complexity and processing requirements of the server analysis system
3Reliability
If the system compares symbol matrices against other bonus redemptions, then fraud prevention is improved, but processing time increases
Solution Approach 1:
The system performs a focused comparison of the symbol matrix against a selective subset of previously redeemed bonuses for the same game, rather than exhaustively checking all possible combinations. This partial action approach maintains effective fraud prevention by identifying duplicate or suspicious patterns while minimizing the time required for validation
Data Source
AI summary
A method of detecting bonus redemption fraud in a gaming system includes capturing an image of a player's game play on a gaming machine with a camera on a mobile device. The image is sent to a server that analyzes the image for fraud. The server identifies a symbol matrix from the image. The symbol matrix comprises an arrangement of symbols for the game. The server validates the symbol matrix to determine if a bonus condition is met. The server also determines a state of the game with optical character recognition techniques and analyzes the symbol matrix to determine if the matrix is valid. The server compares the symbol matrix against other bonus redemptions for the same game. In response to the analysis indicating that the request to redeem the bonus is fraudulent, the server denies payment of the bonus.