Double-Vision Device Alignment Using Chromaticity Detection
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Solution Overview
Problem
Existing double-vision display devices require accurate alignment between a display panel and a double-vision device to prevent crosstalk, but current methods rely on human observation, leading to poor accuracy, high labor intensity, and low efficiency.
Innovation Solution
A double-vision-device alignment device and method utilizing first and second chromaticity detecting units to ensure accurate alignment by detecting colors in viewing regions, allowing for automated adjustment and fixation of the double-vision device on the display panel, reducing human influence and improving precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human observation is used to judge alignment accuracy, then the alignment process can be performed, but the accuracy is poor and labor intensity is high
Solution Approach 1:
The patent replaces the human visual observation system with an automated image processing system. A camera captures images of the display panel, and image processing algorithms automatically detect and measure alignment parameters, eliminating the need for manual visual judgment and significantly improving both accuracy and reducing labor intensity.
Solution Approach 2:
The patent introduces an intermediary image processing system between the display panel and the alignment judgment. This intermediary captures optical images and performs automated measurement, serving as a mediator that translates physical alignment states into measurable digital data, thereby improving precision and reducing direct human involvement.
2Productivity
If human observation is used for alignment, then alignment can be judged, but efficiency is low and only specially-trained personnel can operate it
Solution Approach 1:
The patent implements self-service alignment judgment where the system automatically captures, processes, and evaluates alignment status without requiring specially-trained personnel. The automated image processing system performs alignment judgment independently, significantly improving efficiency and eliminating the need for specialized training while maintaining high accuracy.
Solution Approach 2:
The patent replaces the complex manual operation requiring specialized training with an automated electronic system. The image processing algorithm automatically performs alignment judgment that would otherwise require expert human judgment, thereby improving productivity and reducing operational complexity barriers.
3Manufacturing precision
If the double-vision device is gradually moved for alignment, then alignment can be achieved, but time consumption increases
Solution Approach 1:
The patent implements continuous automated image capture and processing during the alignment process. Instead of discrete manual checks, the system continuously monitors alignment status through ongoing image acquisition and automated analysis, enabling faster determination of alignment accuracy while maintaining high precision.
Solution Approach 2:
The patent replaces time-consuming manual visual inspection with automated image processing. The electronic system rapidly analyzes alignment parameters from captured images, significantly reducing the time required to achieve and verify alignment precision compared to gradual manual movement and observation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enhances alignment accuracy, reduces labor intensity, and increases efficiency, enabling non-professionals to operate the system while ensuring precise alignment for effective double-vision display.
Implementation Method 1
a first chromaticity detecting unit 71, configured to detect a color in a first viewing region 81; a second chromaticity detecting unit 72, configured to detect a color in a second viewing region 82
Data Source
AI summary
A double-vision-device alignment device and a double-vision-device alignment method are provided. The double-vision-device alignment device is configured to accurately align a display panel with a double-vision device, and comprising: a first chromaticity detecting unit, configured to detect a color in a first viewing region; a second chromaticity detecting unit, configured to detect a color in a second viewing region, wherein the first viewing region and the second viewing region are formed by light splitting of the double-vision device, and the first viewing region and the second viewing region correspond to different display regions of the display panel, respectively. It is judged whether an alignment is accurate by detection of a chromaticity detecting unit, which can prevent an alignment result from being affected by human factors, improve accuracy and efficiency, and reduce labor intensity, and the device can be operated by non-professionals.