Casino Table Light Sensor Fabric Placement
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Solution Overview
Problem
Current gaming systems lack accurate monitoring of card and chip placement on casino tables, leading to inefficiencies in player tracking, dealer audits, and security surveillance.
Innovation Solution
A method using light sensors positioned beneath the gaming table felt to detect changes in light intensity, transmitting data to a central computer for calculating hands dealt per hour and generating reports on dealer performance, while also enabling player and proposition bet tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light sensors are positioned beneath the fabric layer to detect card and chip placement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual monitoring and mechanical detection methods with optical sensing technology. Light sensors positioned beneath the fabric layer detect changes in light intensity caused by cards and chips, automatically capturing placement information without mechanical intervention or manual tracking.
Solution Approach 2:
The fabric layer acts as an intermediary medium that allows light transmission while maintaining the table surface. The light sensors use this fabric layer to detect objects placed on it, creating a non-intrusive detection system that integrates seamlessly with the table structure.
2Loss of information
If real-time data collection on card and chip placement is implemented, then information completeness is improved, but loss of time increases due to data processing requirements
Solution Approach 1:
The system continuously collects and stores detection data in real-time as cards and chips are placed on the table, preparing information in advance for later analysis. This preliminary data collection ensures complete information is available when reports need to be generated, eliminating the need for manual data gathering at report generation time.
Solution Approach 2:
The system implements continuous feedback loops where detection data is immediately processed and stored, then fed into reporting systems that generate performance metrics. This automated feedback mechanism ensures information completeness while reducing processing time through systematic data flow management.
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
Enhances accuracy in player tracking, dealer efficiency evaluation, and security surveillance by providing real-time data on card and chip placement, improving operational efficiency and security measures.
Implementation Method 1
detecting a change in light intensity in proximity to a player position at a gaming table. The detection is performed via a light sensor positioned beneath a fabric layer on the gaming table. In addition, the detection includes detecting the change in light intensity through the fabric layer.
Data Source
AI summary
A system includes a gaming table, at least one light sensor, an electronic system, and a central computer. The gaming table includes a tabletop covered by a fabric. The at least one light sensor is positioned in proximity to a player position at the gaming table. In addition, the at least one light sensor is positioned beneath the fabric to detect light intensity through the fabric. The electronic system is communicably coupled to the at least one light sensor. Furthermore, the electronic system is operable to detect changes in light intensity at the at least one light sensor. The central computer is communicably coupled to the electronic system. Additionally, the central computer is operable to rate a plurality of dealers at a table game in a casino based on a status of the at least one light sensor.