Roulette Chip Management With RFID and Multi-Camera Payout Recognition
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Solution Overview
Problem
Existing roulette game management systems face challenges in accurately recognizing and managing roulette chips due to limitations in RFID tag reading and camera-based recognition, leading to difficulties in distinguishing chip locations and potential fraud during payouts.
Innovation Solution
A management system that combines RFID tags with multiple cameras to capture images of the betting area, using machine learning for image analysis to determine chip positions and numbers, and calculates payouts while detecting fraudulent activities through RFID tag readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RFID tags are used to read roulette chips, then chip reading accuracy is improved, but the ability to distinguish chip locations deteriorates
Solution Approach 1:
The patent combines RFID reading technology with camera-based image recognition technology into a unified chip management system. The RFID system provides accurate chip identification while the camera system captures visual information about chip locations and arrangements. By merging these two complementary technologies, the system overcomes the limitations of each individual approach and achieves both accurate reading and location distinction.
2Device complexity
If a single camera is used to capture betting area, then device complexity is reduced, but the ability to recognize occluded chips deteriorates
Solution Approach 1:
The patent introduces multiple cameras positioned at different spatial locations and angles to capture the betting area from multiple perspectives. This multi-dimensional approach ensures that chips occluded from one camera's view can be captured by other cameras. The system processes images from multiple viewpoints to reconstruct complete information about all chips, including those that would be hidden from a single viewpoint.
3Ease of operation
If manual chip counting is used during payouts, then ease of operation is improved, but productivity and accuracy of payout processing deteriorates
Solution Approach 1:
The system implements automated chip recognition and counting functionality that performs payout calculations without requiring manual dealer intervention. The camera system automatically captures images of the betting area, the image processing unit analyzes the chip arrangements and counts chips by color and position, and the system automatically determines payout amounts. This self-service approach significantly improves payout processing efficiency while maintaining ease of operation through automated decision-making.
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 accurate recognition and management of roulette chips, supports dealer operations, and detects fraud by providing real-time alerts, enhancing operational efficiency and security.
Implementation Method 1
The roulette chip has an RFID tag that stores information corresponding to at least its color
Implementation Method 2
at least two cameras, each configured to produce an image or video of the betting area from different oblique upward positions
Data Source
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AI summary
The controller (140) is configured to: read the RFID tags (104) using the betting area antenna (131) to obtain a first reading result for winning chips remaining after a game result has been determined on a wheel (11) and non-winning chips have been collected by a dealer, capture the winning chips using a plurality of cameras (14, 15, 16) to obtain first images, and analyze the first images using the analyzer (110) to determine a number of image-recognizable winning chips for each color for which occlusion has not occurred in any one the of the first images; and subtract the number of image-recognizable winning chips of each color from a number of winning chips for each color indicated by the first reading result to determine a number of occluded winning chips for each color having occlusion in any of the first images; and calculate a payout amount for each color based on the number of image-recognizable winning chips for each color and a payout multiplier for each of the occluded winning chips.