Casino Table ROI Detection via Homography
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Solution Overview
Problem
Current systems lack the ability to automatically and accurately track player bets and game activities on casino tables, making it difficult to monitor player value, detect cheating, and ensure dealer accuracy.
Innovation Solution
A method and system that uses camera meta-data and top-down meta-data to identify and analyze regions of interest on a casino table, such as betting and card areas, by generating templates, applying homography transformations, and analyzing images from cameras to track game progress and player activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking of player bets and game activities is used, then system complexity is reduced, but measurement precision and productivity deteriorate
Solution Approach 1:
The patent replaces manual mechanical tracking with an automated image processing system using cameras and computer vision algorithms. The system captures images of the casino table, applies homography transformations to correct perspective distortion, and automatically identifies betting areas and card positions through image analysis, eliminating the need for manual tracking while improving precision.
Solution Approach 2:
The patent creates a virtual copy of the physical casino table through image processing. By capturing images and applying homography transformations, the system generates a digital representation of the table layout, betting areas, and card positions, allowing automated analysis without physically interacting with the game components.
2Productivity
If automated image processing is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent pre-defines the betting area boundaries and table layout characteristics before the game begins. The system stores reference information about where bets are placed and how the table is configured, allowing rapid automated analysis during gameplay without complex real-time decision-making, thus improving productivity while managing system complexity.
3Measurement precision
If homography transformation is applied to correct perspective distortion, then measurement precision is improved, but computational complexity increases
Solution Approach 1:
The patent extracts only the essential geometric transformation parameters needed for homography correction. By identifying key reference points on the table and calculating the necessary transformation matrix, the system applies minimal computational overhead to correct perspective distortion, improving measurement precision without excessive computational load.
Data Source
AI summary
A method, system, and computer readable storage for identifying regions of interest on a casino gaming table. Regions of interest are locations on an image where relevant actions are typically going to occur. For example, locations of betting area region of interest and card area regions of interest are determined so that these areas can be analyzed on a video camera. The analyzed areas can then be used for things such as determining and tracking player betting amounts, determining if the game is being dealt properly (by analyzing the cards dealt to determine if the proper cards are dealt and/or the proper payouts are made).