Gaming Table Outcome Overlay for Precise Object State Detection
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Solution Overview
Problem
Existing tracking systems in casino gaming environments struggle to accurately track moving gaming tokens, interactions with cards or dice, and project gaming content to specific locations on gaming tables, lacking clarity and accuracy in displaying game outcomes.
Innovation Solution
Implement a system that uses image analysis and machine-learning models to determine the outcome value of a randomizing game object and project a virtual-scene overlay to determine the winning outcome and render an image overlay at a corresponding location on the gaming table surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional tracking systems are used to monitor gaming objects, then basic tracking functionality is provided, but accuracy in tracking moving gaming tokens and interactions with cards or dice deteriorates
Solution Approach 1:
The patent replaces traditional mechanical/optical tracking systems with computer vision and machine learning models. The system uses image capture devices coupled with AI algorithms to detect and track gaming objects, substituting conventional tracking mechanics with intelligent image analysis that can accurately identify moving tokens, cards, and dice interactions.
Solution Approach 2:
The system dynamically adjusts tracking parameters based on game state and object movement patterns. Machine learning models adapt to different gaming scenarios, changing detection sensitivity, tracking frequency, and recognition thresholds to maintain high accuracy across varying game conditions and object velocities.
2Loss of information
If projection systems are used to display gaming content on table surfaces, then visual information is provided, but clarity and accuracy in displaying game outcomes deteriorates
Solution Approach 1:
The system implements continuous feedback loops where image capture devices monitor the gaming table surface, detect object positions and game states, and automatically adjust projection content and positioning. This real-time feedback ensures that projected outcomes accurately correspond to actual game events, maintaining information clarity and projection precision.
Solution Approach 2:
The system pre-processes game outcome data and prepares projection content in advance based on detected game states. By analyzing game rules and current conditions, the system pre-generates appropriate visual indicators and positions them for immediate projection when outcomes are determined, ensuring accurate and timely display of game results.
3Adaptability or versatility
If manual tracking methods are used for gaming objects, then system complexity is reduced, but adaptability to dynamic gaming environments deteriorates
Solution Approach 1:
The patent implements a universal tracking system using machine learning models that can identify and track multiple types of gaming objects (tokens, cards, dice, chips) with a single integrated system. The same computer vision infrastructure adapts to different game types and table configurations, providing versatility without requiring separate specialized systems for each object type or game variant.
Data Source
AI summary
A gaming system determines an outcome value of a randomizing game object for a game at a gaming table using image analysis. Based on the outcome value and game rules, the system detects a winning outcome. The system also determines a location on the gaming table surface related to the winning outcome, again using image analysis. In response, a virtual-scene overlay is rendered. The overlay has an outcome indicator positioned at pixel coordinates that correspond to the determined location. Data for the virtual-scene overlay is then transmitted for presentation on a display device associated with the gaming table. This allows for dynamic indication of game outcomes on various displays within the gaming environment.