Automated Player Token Linking via Image Neural Networks
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Solution Overview
Problem
Existing casino gaming tracking systems are limited in their ability to monitor games with multiple players, particularly when back-betting is allowed, as they are configured to monitor specific, predetermined areas, leading to inaccurate data and potential security issues with unmonitored fake tokens.
Innovation Solution
A system utilizing image sensors and image neural network models to capture and analyze data from gaming tables and player areas, detecting players and tokens, and linking them based on physical relationships to provide accurate tracking and enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If predetermined area monitoring is used, then device complexity is reduced, but measurement precision and tracking accuracy deteriorate
Solution Approach 1:
The system transitions from static predetermined area monitoring to dynamic free-position monitoring. Image sensors continuously capture images of the entire gaming table, and the processor dynamically determines player positions and token locations based on actual image data rather than fixed zones. This allows players to place tokens anywhere on the table while maintaining accurate tracking.
Solution Approach 2:
The patent replaces mechanical area-based monitoring systems with an optical image recognition system. Instead of using physical sensors at fixed positions to detect players and tokens, the system uses image sensors to capture visual data and a processor to analyze the images, identifying players and tokens based on their visual characteristics and positions in the captured images.
2Adaptability or versatility
If free-position back-betting is allowed, then adaptability of the gaming system is improved, but reliability and security deteriorate
Solution Approach 1:
The system continuously captures images and updates player positions and token locations in real-time. The processor analyzes each image to verify token positions and player identities, providing continuous feedback to ensure that tokens are legitimately placed by authorized players. This ongoing verification process maintains security while allowing flexible betting positions.
Solution Approach 2:
The image sensor and processor act as an intermediary between players and the gaming system. Instead of directly trusting physical token placement, the system uses image analysis to verify that tokens are genuinely placed by players at their intended positions, preventing counterfeit tokens and unauthorized back-betting while maintaining player flexibility.
3Device complexity
If manual tracking by dealers is used, then device complexity is reduced, but productivity and time efficiency deteriorate
Solution Approach 1:
The system implements automated self-service tracking where the image sensors and processor independently monitor player positions, token locations, and game actions without requiring dealer intervention. The system automatically links players to their tokens and tracks game progression, freeing dealers from manual tracking tasks while improving monitoring efficiency and accuracy.
Data Source
AI summary
A system including an image sensor that captures image data of a gaming table and a player area, and a tracking controller communicatively coupled to the image sensor. The tracking controller detects a player and a token set from the captured image data by applying an image neural network model to the image data to generate at least one key player data element for the player and at least one key token data element for the token set, generates a player data object representing physical characteristics of the player based on the key player data elements, links the player data object to a player identifier of the player, generates a token identifier based on the key token data elements, and links the token identifier to the player data object based on a physical relationship between the player and the token set indicated by the key data elements.