Automated 3D Imaging Assessment via Enclosed Area Counting
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Solution Overview
Problem
Current 3D imaging environments rely on human judgment to determine functionality, leading to inevitable misjudgment and inefficiencies in resource allocation and testing time.
Innovation Solution
An automated method and system that utilize a processor to capture and process images with and without 3D glasses, comparing the number of enclosed areas in the images to determine if the 3D imaging environment is functioning correctly, thereby preventing human error and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human beings determine whether a display is operating in a 3D mode and whether a 3D imaging environment is functioning normally, then the assessment can be performed with simple equipment, but human misjudgment is inevitable and testing time is increased
Solution Approach 1:
The patent replaces the mechanical system of human visual inspection with an automated image processing system. The processor captures images through the 3D glasses, processes them to detect enclosed areas, and automatically determines whether the 3D imaging environment is functioning normally. This substitution eliminates human misjudgment and significantly reduces testing time while maintaining high assessment accuracy.
2Extent of automation
If human beings manually assess 3D imaging functionality, then no complex automated system is required, but human resources are wasted and misjudgment occurs
Solution Approach 1:
The system performs self-assessment of the 3D imaging environment. The processor automatically captures images through the 3D glasses, processes the images to count enclosed areas, and determines functionality without requiring external human intervention. This self-service approach maximizes automation while keeping the system relatively simple by utilizing existing display and imaging components.
3Reliability
If automated image processing is implemented to eliminate human misjudgment, then assessment accuracy is improved, but the complexity of the system increases
Solution Approach 1:
The patent introduces an intermediary image processing system that acts as a mediator between the 3D display and the assessment. The processor captures images through the 3D glasses, uses image processing algorithms to detect enclosed areas, and reliably determines functionality. This intermediary approach ensures high reliability by eliminating human error while managing complexity through systematic processing steps.
Data Source
AI summary
A method for judging in a 3D environment includes: receiving a first image and a second image of a displayed 3D image, the first image being captured without the aid of 3D glasses, the second image being captured with the 3D glasses arranged in front of an image capturing unit; processing each of the first and second images so as to obtain a respective one of a processed first image and a processed second image; and determining whether a number of enclosed areas contained in the processed first image is equal to a predetermined value, and whether a number of enclosed areas contained in the processed second image is equal to another predetermined value. The 3D environment is normal when results of determinations are affirmative.