Game Tabletop Image Processing for Real-Time Stage Detection
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Solution Overview
Problem
Current image processing technologies lack efficiency and accuracy in detecting game stages and processes in real-time table games, leading to potential errors and inefficiencies in large-scale operations.
Innovation Solution
An image processing method and apparatus that obtain video streams of a game tabletop, detect target objects, determine the current game stage, and analyze game detecting results using multiple image acquisition devices and neural networks to enhance detection accuracy and automate the game monitoring process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual detection methods are used for game processes, then operational flexibility is maintained, but detection efficiency and accuracy deteriorate
Solution Approach 1:
The patent replaces manual mechanical detection with an automated image processing system using multiple image acquisition devices, processors, and neural networks to detect game objects and determine game stages, thereby improving detection efficiency and accuracy while reducing human intervention
Solution Approach 2:
The system performs self-detection and self-analysis of game processes through automated image processing and neural network analysis, eliminating the need for manual detection and reducing operational errors in large-scale operations
2Measurement precision
If automated image processing is implemented, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent divides the detection system into multiple specialized image acquisition devices positioned at different views, each capturing specific game objects or stages, allowing the complex detection task to be segmented into manageable components that can be processed independently and then integrated
Solution Approach 2:
The system introduces processors and neural networks as intermediary components between the image acquisition devices and the final detection results, enabling automated analysis and determination of game stages while maintaining system modularity and manageability
3Reliability
If multiple image acquisition devices are used, then detection coverage and accuracy improve, but device complexity and cost increase
Solution Approach 1:
The patent employs multiple image acquisition devices positioned at different spatial views (first view, second view, etc.) to capture the game tabletop from multiple dimensions, enabling comprehensive detection coverage and improved reliability by observing game objects from different perspectives simultaneously
Data Source
AI summary
The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining video streams of a game tabletop; detecting target objects in a plurality of image frames included in the video streams; determining a current game stage based on the target objects; and determining game detecting results according to the target objects and the determined game stage.