Card Recognition and Projection System for Trading Card Games
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Solution Overview
Problem
Current image projection systems for trading card games lack efficient recognition and projection technologies to enhance gameplay experience, particularly in detecting card positions and instructions accurately.
Innovation Solution
A processing apparatus with image acquisition, recognition, and projection image generation units that detect cards and objects within the projection region, generating dynamic projection images based on recognized cards and user instructions, using infrared and visible light cameras to correct image distortions and improve gameplay interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a card detection sensor is used to detect the marker on the card, then the card position can be detected, but the system complexity increases and the detection accuracy is insufficient for complex card instructions
Solution Approach 1:
The patent replaces the mechanical card detection sensor with an image processing system using a camera and computer vision algorithms. The camera captures images of the card and projection area, and software algorithms detect card positions, markers, and user instructions, eliminating the need for complex mechanical sensors while improving detection accuracy and system versatility.
2Ease of operation
If the projector projects images based on simple card detection, then the basic function is achieved, but the user engagement and game interaction quality are insufficient
Solution Approach 1:
The system implements real-time feedback by continuously monitoring the projection area with a camera, detecting user instructions (such as pointing gestures or card placements), and dynamically adjusting the projected images accordingly. This closed-loop feedback mechanism enhances user engagement by providing immediate visual responses to user actions while maintaining accurate instruction detection through image processing algorithms.
Solution Approach 2:
The system performs preliminary actions by pre-processing images to identify potential instructions before they are fully executed. The image processing unit anticipates user intent by detecting partial gestures or preparatory movements, allowing the system to prepare appropriate projection responses in advance, thereby improving interaction quality and reducing detection errors.
3Productivity
If the system processes only basic card recognition, then the processing speed is fast, but the gameplay performance and interaction capabilities are limited
Solution Approach 1:
The image processing system is segmented into multiple specialized modules: one module detects card positions and markers, another detects user instructions, and a third generates projection images. This segmentation allows parallel processing of different tasks, maintaining high productivity by processing multiple aspects of gameplay simultaneously while reducing overall processing time through efficient task distribution.
Data Source
AI summary
A picked up image acquisition unit acquires a picked up image obtained by picking up an image of a region including a projection region projected by a projector. A recognition processing unit executes a recognition process of a card included in the picked up image. A projection image generation unit generates a projection image to be projected by the projector on the basis of the card recognized by the recognition processing unit. An instruction detection unit detects an instruction for the card. The recognition processing unit detects an object different from the card and provides detection information of the detected object to the instruction detection unit. The instruction detection unit then detects an instruction for the card from the detection information of the object provided thereto. The projection image generation unit generates a projection image on the basis of the instruction for the card.