Casino Table Management System for Automated Profit Ratio Analysis
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Solution Overview
Problem
Conventional casino management systems lack effective tools for analyzing income divergence from targets, hindering improvements in casino operations and management.
Innovation Solution
A table game management system that includes a win-loss determination device, a measurement device, and a management and control device to identify and store gaming chip positions, types, and numbers, enabling automatic calculation of sales profit ratios by comparing them with theoretical or previous averages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional income tracking methods are used to calculate casino profit, then the calculation process is simple, but the management information obtained is insufficient for identifying areas for improvement
Solution Approach 1:
The patent replaces manual income tracking methods with an automated optical measurement system using cameras and image processing to detect gaming chip positions, types, and quantities. This substitution provides comprehensive management information including sales profit ratios, bet amounts, and game outcomes without requiring complex manual tracking procedures.
Solution Approach 2:
The system creates a digital copy of the physical gaming chip data by using camera images to detect and record chip positions, types, and quantities. This digital representation enables automated calculation of management metrics such as sales profit ratios and provides detailed information for operational improvements without physically manipulating the chips.
2Measurement precision
If automated chip detection using camera and image processing is implemented, then detailed management information including sales profit ratio is obtained, but the device complexity and measurement precision requirements increase
Solution Approach 1:
The camera-based measurement device serves multiple functions: detecting chip positions, identifying chip types through color and pattern recognition, counting chip quantities, and providing data for sales profit ratio calculations. This multi-functionality reduces the need for separate specialized devices while maintaining high measurement precision.
Solution Approach 2:
The system introduces an image processing intermediary that translates camera images into structured data about chip positions, types, and quantities. This intermediary layer handles the complexity of image analysis, allowing the detection system to achieve high precision without requiring overly complex hardware configurations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise estimation of sales profit ratios, detects unfair practices, and suggests optimal bet amounts to enhance operational efficiency and revenue, providing detailed management insights.
Implementation Method 1
the measurement device is configured to use a camera to detect the position, the type, and the number of the gaming chips
Data Source
AI summary
The management and control device uses the information acquired from the measurement device to detect a total bet amount of the chips placed on the bet area of the game table by the game participants, and uses the information acquired from the card shoe and the measurement device to detect a winning or losing amount for the game organizer. A sales balance management part compares a sales profit ratio that is a ratio of the winning or losing amount for the game organizer to the total bet amount with a theoretical profit ratio or a previous average profit ratio, and outputs a comparison result.