Casino Chip Stack Recognition for Main and Back-Betting Players
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Solution Overview
Problem
Conventional game systems struggle to accurately determine which stack of gaming chips placed on the same betting area belongs to the main player or back-betting player, especially when multiple stacks are present, leading to confusion in game outcomes.
Innovation Solution
A game system equipped with a camera and information processing device that analyzes the position, color, and relative placement of gaming chips on a betting area to differentiate between main player and back-betting player stacks, utilizing neural networks and image recognition to identify individual players and their respective stacks based on positional relationships, body parts, and chronological order of bets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple stacks of gaming chips are placed on the same betting area for back-betting, then more players can participate in the game, 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 betting area. The system segments the analysis by first identifying which play position's betting area contains the stack, then determining which player (main player or back-betting player) placed the stack in that specific area. This segmentation allows multiple players to bet in the same overall betting zone while maintaining clear identification of each player's stacks.
Solution Approach 2:
The system adds temporal dimension by capturing images at different time points to track when stacks are placed. By analyzing the chronological order of image captures, the system can determine which player placed which stack based on the sequence of betting actions, even when multiple stacks coexist in the same betting area.
2Productivity
If conventional image analysis is used to identify betting targets and chip counts, then basic betting information can be determined, but it cannot distinguish between main player and back-betting player stacks
Solution Approach 1:
The system performs preliminary identification of the play position associated with each betting area before analyzing the stacks within it. By pre-establishing the relationship between play positions and betting areas, and capturing images in chronological order, the system prepares the contextual framework needed to attribute stacks to specific players (main player or back-betting player) without adding significant processing time during game play.
Data Source
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AI summary
The game system of the present disclosure comprises a game table 2 having a betting area 6 in which a plurality of betting targets are laid out, a camera 10 that captures the game table 2 and generates a captured image, and an information processing device 12 that identifies which betting target 7 the stack 80 is bet on, wherein when a plurality of stacks 80 of the gaming chips 8 are bet on the same betting area 6, the information processing device 12, based on the captured image 11, determines which stack 80 is the stack of main player 3m and which stack 80 is the stack 80 of back-betting player 3b.