Automated Image Detection for TFT-LCD Patterning Accuracy
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Solution Overview
Problem
Current manual inspection methods for TFT-LCD display devices are labor-intensive, time-consuming, and prone to human error, leading to inconsistent detection standards and poor quality control in patterning accuracy.
Innovation Solution
An image detection method and apparatus that compares input image feature data with preset data in a database to calculate deviations, using pre-processing techniques like noise filtering and image segmentation, enabling intelligent and accurate detection of patterning accuracy without relying on manual labor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to detect pattern image accuracy, then detection can be performed with simple equipment, but detection accuracy and consistency deteriorate due to individual differences
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated image detection system that captures pattern images and automatically analyzes them. The system substitutes human visual inspection with electronic image processing, thereby eliminating individual differences and improving detection accuracy while maintaining manageable system complexity through standardized imaging and analysis procedures.
2Productivity
If manual inspection is used for pattern image quality control, then equipment cost is reduced, but productivity deteriorates due to time-consuming detection
Solution Approach 1:
The detection system performs self-service by automatically capturing, processing, and analyzing pattern images without requiring manual intervention. The system autonomously completes the entire detection workflow from image acquisition to accuracy assessment, thereby dramatically improving productivity and eliminating the need for continuous manual labor input.
Solution Approach 2:
The patent replaces manual inspection labor with an automated electronic detection system. The system uses image capture devices and computer-based analysis to substitute human workers, thereby increasing detection efficiency and reducing labor input simultaneously.
3Measurement precision
If quantitative detection standards are implemented, then measurement precision is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent replaces subjective manual assessment with objective computer-based image analysis. The system automatically extracts quantitative features from captured images and compares them against reference data, providing precise measurement without requiring complex manual evaluation procedures. The quantification is achieved through standardized image processing algorithms rather than complex physical measurement devices.
Data Source
AI summary
The application provides an image detection method, an image detection apparatus, and a patterning control method, the image detection method including: identifying an input image to obtain image feature data of the input image; comparing the image feature data with preset image feature data in a preset image feature database to obtain deviation data of the input image; wherein the input image is a pattern image of a patterned structure. By intelligently detecting the pattern image of the patterned structure, the accuracy of the detection is improved, thereby reducing the labor input cost.