Casino Chip Stack Recognition for Main and Back Bets
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Solution Overview
Problem
Conventional game systems struggle to accurately determine which stack of gaming chips belongs to the main player and which to the back-betting player when multiple stacks are placed on the same betting area, leading to confusion in game outcomes.
Innovation Solution
A game system equipped with a camera and an information processing device that analyzes the position, color, and relative placement of gaming chips on a betting area to identify stacks as belonging to either the main player or back-betting player, using neural networks and image recognition techniques to distinguish between stacks based on predefined rules or player identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple stacks of gaming chips are placed on the same betting area, then more players can bet simultaneously, but it becomes difficult to determine which stack belongs to which player
Solution Approach 1:
The betting area is divided into multiple play positions, each with its own designated betting zone. The image analyzing device segments the betting area into regions corresponding to each play position, allowing it to track which stacks belong to which player even when multiple stacks are present in the same overall betting area.
Solution Approach 2:
The image analyzing device acts as an intermediary between the physical chip stacks and the game management system. It captures images, identifies stacks, determines their positions relative to play positions, and communicates this information to the game management system, thereby maintaining the association between players and their stacks.
2Measurement precision
If the betting area is divided for each play position, then player bets can be tracked accurately, but back-betting creates confusion when stacks from different players are mixed
Solution Approach 1:
The system dynamically adjusts its analysis based on the current game state. The image analyzing device continuously captures images and updates the identification of stacks and their associations with players, adapting to changing betting patterns including back-betting scenarios without requiring manual reconfiguration.
Solution Approach 2:
The game management system receives feedback from the image analyzing device about stack positions and player associations. This feedback loop allows the system to maintain accurate tracking even in complex back-betting situations, as each new bet is analyzed and integrated into the existing game state.
Data Source
AI summary
The game system of the present disclosure comprises a game table having a betting area in which a plurality of betting targets are laid out, a camera that captures the game table and generates a captured image, and an information processing device that identifies which betting target the stack is bet on, wherein when a plurality of stacks of the gaming chips are bet on the same betting area, the information processing device, based on the captured image, determines which stack is the stack of main player and which stack is the stack of back-betting player.