Naked Eye 3D Display Thickness Detection via Moire Brightness Curves
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Solution Overview
Problem
The uniformity of thickness in naked eye 3D display screens, particularly the glue layer between the display panel and the liquid crystal grating device, affects image quality and is difficult to accurately detect, leading to control issues in manufacturing.
Innovation Solution
A method, device, and system that extract preset brightness curves from moire stripes when displaying a monocolour picture, calculate average position coordinates, and determine thickness abnormalities by assessing deviation values, allowing for precise identification of thickness irregularities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection methods are used for thickness uniformity, then the detection process is simple, but the detection accuracy is insufficient and cannot accurately identify thickness abnormal positions
Solution Approach 1:
The patent introduces moire stripes as an intermediary pattern to indirectly detect thickness abnormalities. By projecting moire stripes onto the display screen and analyzing the brightness distribution of these stripes, the system can accurately detect thickness variations without directly measuring the physical thickness, thus achieving high detection accuracy while maintaining relatively simple system complexity
Solution Approach 2:
The patent transforms the physical thickness parameter into an optical brightness parameter for detection. By monitoring changes in brightness distribution of moire stripes caused by thickness variations, the system converts a difficult-to-measure mechanical parameter into an easily detectable optical parameter, enabling accurate thickness uniformity detection
2Productivity
If manual inspection methods are used, then the equipment complexity is low, but the productivity and detection efficiency are reduced
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical detection system. By using image sensors to capture moire stripe patterns and automated algorithms to analyze brightness distribution, the system eliminates manual intervention while achieving high detection efficiency and accuracy, thereby improving productivity despite increased system complexity
Solution Approach 2:
The detection system automatically processes the entire detection workflow including pattern projection, image capture, brightness curve extraction, and abnormal position identification without requiring manual operation. The system performs self-analysis and self-diagnosis, enabling continuous automated detection that significantly improves productivity
3Measurement precision
If automated optical detection is implemented, then detection precision improves, but the ease of operation decreases due to complex analysis processes
Solution Approach 1:
The patent divides the complex detection process into distinct modular stages: moire stripe pattern projection, image capture, brightness curve extraction for each stripe, average position coordinate calculation, and deviation analysis. This segmentation allows each module to be independently optimized and simplifies the overall operation by providing clear step-by-step processing that maintains high precision while improving ease of operation
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
This approach enables accurate detection of thickness abnormalities in naked eye 3D display screens, improving product controllability and image quality by quantitatively evaluating the uniformity of the screen's thickness.
Implementation Method 1
obtain moire stripe brightness image when the display screen displays a monocolour picture
Data Source
AI summary
A method, a device and a system of detecting uniformity of thickness of a display screen are provided. The detecting method includes extracting preset brightness curves for each of moire stripes when the display screen displays a monocolor picture; calculating an average position coordinate in a preset direction for each of the preset brightness curves; calculating a deviation value of a position coordinate in the preset direction of discrete points on each of the preset brightness curves with respect to the average position coordinate; for each of the preset brightness curves, when the deviation value exceeds a preset allowable deviation range, determining a thickness abnormal position of the display screen according to the coordinates of the discrete points corresponding to the deviation values. By this detecting method, a thickness abnormal position of a display screen can be accurately detected, and the controllability of the products can be improved.