Gaming Table Event Detection for Accurate Player Rating
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Solution Overview
Problem
The process of rating players at casino gaming tables is tedious and prone to errors due to multiple hands being played simultaneously or players sitting out for numerous hands, especially when casino staff are responsible for managing multiple tables, leading to inaccuracies in determining gameplay value and potential money laundering monitoring.
Innovation Solution
A system utilizing cameras and processors to detect and analyze gaming table events in real-time, incorporating computer vision techniques for currency, chip, face, and card detection, along with facial recognition to associate events with specific players, and implement watchdog processes to conserve computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual rating processes are used by casino staff to track player gameplay, then flexibility in handling multiple tables is maintained, but accuracy in determining player ratings and detecting money laundering decreases
Solution Approach 1:
The patent replaces manual mechanical tracking by casino staff with an automated computer vision system using cameras, processors, and image analysis algorithms to detect chips, currency, cards, and player actions at gaming tables, thereby improving measurement precision while managing system complexity through automated processing
Solution Approach 2:
The system creates visual copies of the gaming table through camera imaging and processes these copies via image analysis to determine player ratings and detect suspicious activities, eliminating the need for physical manual tracking while improving accuracy
2Reliability
If automated camera systems are deployed to detect gaming table events, then player rating accuracy and money laundering detection improve, but computing resource consumption increases
Solution Approach 1:
The system applies selective image processing by focusing computational resources on detecting specific events (chip movements, currency handling, card dealing) rather than continuously processing all video frames, thereby improving event detection accuracy while optimizing computing resource usage through targeted analysis
Solution Approach 2:
The patent divides the gaming table into multiple zones of interest (player positions, betting areas, dealer area) and processes images by focusing on specific segments where events are most likely to occur, reducing overall computational load while maintaining detection reliability
3Productivity
If supervisors are assigned to monitor more tables, then operational efficiency increases, but the burden and potential for error in tracking multiple players simultaneously increases
Solution Approach 1:
The patent replaces human supervisors with an automated computer vision system that can simultaneously monitor multiple gaming tables without fatigue or error, improving both productivity by eliminating manual monitoring needs and measurement precision through consistent automated detection of player actions and chip movements
Data Source
AI summary
Systems and methods are disclosed for detecting and processing events that occur at a gaming table in a casino environment. Camera streams associated with the table game are analyzed using lightweight, watchdog processes. When a certain event is detected, extended processes can be executed in order to provide additional information regarding the event. Such as approach can require a relatively limited amount of computing resources, while still providing relevant information to casino operators. The information can be used, for example, to track gameplay and provide player ratings.