Game Table Data Processing via Heat Zone Map Filtering
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Solution Overview
Problem
In entertainment settings, existing systems face challenges in efficiently processing data from game tables, as irrelevant data interferes with service logic processing, leading to inefficiencies and difficulties in tracking game progress and irregular actions.
Innovation Solution
A method and apparatus for data processing that involves acquiring recognition data from game images, generating heat zone maps for game regions, and filtering out irrelevant data based on type and position data, allowing game state detection modules to process only relevant information within specific game regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all recognition data from multiple camera systems is processed, then comprehensive object detection is achieved, but processing complexity and interference increase
Solution Approach 1:
The patent divides the game table surface into multiple independent detection regions (first detection region, second detection region, etc.), each associated with specific camera systems. This segmentation allows different camera systems to be assigned to specific regions, enabling selective processing of recognition data from only the relevant camera-system-region combinations, thereby reducing overall processing complexity while maintaining detection accuracy.
Solution Approach 2:
The patent extracts and filters out irrelevant recognition data by comparing detected object positions against the predefined detection regions. Only recognition data corresponding to objects located within the active detection regions is retained for processing, while data from other regions is discarded. This extraction approach reduces data volume and processing complexity without losing detection accuracy for relevant objects.
2Reliability
If recognition data from all game objects is processed, then complete game state monitoring is achieved, but service logic processing efficiency decreases
Solution Approach 1:
The patent assigns different detection regions to different service logic processing requirements. Each detection region can be configured to monitor specific types of objects or game states relevant to particular services. This local quality approach allows the system to process only the recognition data needed for each specific service logic, improving overall processing efficiency while maintaining reliable game state monitoring for all configured regions.
Data Source
AI summary
Provided is a method for data processing. The method includes the following actions. Recognition data obtained by performing game object recognition on each frame of game image in a game image frame sequence is acquired. The recognition data includes type data of a game object and position data of the game object on a game table. At least one heat zone map corresponding to a surface of the game table is acquired. Each heat zone map represents a game region on the surface of the game table corresponding to each of respective at least one type of game object. Based on the type data, the position data, and the at least one heat zone map, recognition data of a game object that is located in a corresponding game region in each frame of game image in the game image frame sequence is filtered out.


