Casino Wager Image Tracking for Phase-Based Cheating Detection
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Solution Overview
Problem
Casinos face challenges in detecting player cheating, particularly in games like roulette and craps, due to the difficulty in tracking wagers across multiple areas of a gaming table with many players, which affects their revenue.
Innovation Solution
A casino security system that uses cameras to capture and analyze images of wagers on power play areas, determining initial and subsequent values to detect cheating by comparing these values, and alerting security personnel through a user interface on a mobile device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dealers and security personnel manually monitor wagering games, then cheating detection capability is maintained, but the complexity of tracking wagers across multiple table areas and players increases significantly
Solution Approach 1:
The patent replaces the mechanical/visual monitoring system used by dealers and security personnel with an automated image recognition system. Cameras capture images of the gaming table, and image processing algorithms automatically identify wager locations, track chip movements, and detect cheating behaviors such as past posting, eliminating the need for manual visual tracking across multiple table areas and players
Solution Approach 2:
The system creates visual copies of the gaming table state through camera imaging. By capturing images at different game phases and comparing these visual copies, the system can detect changes in wager positions and values without requiring physical inspection or manual tracking, thus simplifying the monitoring process while maintaining detection reliability
2Measurement precision
If more areas of the gaming table are monitored, then cheating detection accuracy improves, but the time required to analyze all areas increases
Solution Approach 1:
The system captures images of the gaming table at predetermined phases during the game process (such as before and after game outcomes are determined). By analyzing these pre-captured images, the system can detect cheating behaviors like past posting without requiring continuous real-time analysis of all table areas, thus maintaining detection accuracy while reducing analysis time
Solution Approach 2:
The monitoring process is divided into discrete phases corresponding to different stages of the game. Instead of continuously analyzing all table areas simultaneously, the system segments the monitoring task into phase-specific image captures and analyses, reducing the time required while maintaining comprehensive coverage of all wagering areas
3Reliability
If continuous monitoring of all players at a gaming table is implemented, then cheating detection reliability improves, but the system complexity and resource requirements increase
Solution Approach 1:
The image recognition system serves multiple functions simultaneously: it captures images of the gaming table, identifies wager locations, tracks chip movements, determines game phases, and detects cheating behaviors. This multi-functional approach consolidates what would otherwise require separate systems for each task, reducing overall system complexity while maintaining comprehensive monitoring of all players across the table
Data Source
AI summary
The disclosure relates to a casino security system for monitoring wagering games. The method may include determining that a wager is positioned on a power play area of the wagering game; analyzing one or more images of the wager captured by a camera(s) to determine an initial value of the wager; determining a phase of the wagering game, and based on the determined phase of the wagering game, analyzing the one or more images of the wager to determine a value of the wager at the phase of the wagering game; and determining whether a player cheated at the phase of the wagering game by comparing the initial value of the wager to the value of the wager determined at the phase.