Automated LCD Inspection System for Defect Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional LCD inspection methods rely on manual detection, leading to misjudgment and reduced quality and yield due to visual differences between operators.
Innovation Solution
A method and apparatus that involves obtaining optical parameters and capturing images of LCDs, determining defects by comparing against preset parameters and stored images, and categorizing defects based on their location and type, with automated distribution to appropriate channels for further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to detect defect LCD products, then the inspection process is simple and low-cost, but the inspection accuracy deteriorates due to visual differences between operators and human factors
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical detection system that uses cameras and image processing algorithms to detect LCD defects. The system captures images of LCD panels and automatically analyzes them to identify defects such as spots, lines, and other abnormalities, eliminating human visual differences and subjectivity from the inspection process
Solution Approach 2:
The patent creates digital copies (images) of the LCD panels being inspected. Instead of direct manual visual examination, the system captures optical images of the LCD surfaces and analyzes these copies to detect defects. This allows for consistent, objective analysis of the same visual information without variation between inspectors
2Reliability
If manual inspection methods are used, then the equipment cost is low, but the quality and yield of manufactured LCD products deteriorate due to misjudgment and missed tests
Solution Approach 1:
The patent replaces manual inspection with an automated optical detection system that uses cameras and image processing algorithms to detect LCD defects. The system captures images of LCD panels and automatically analyzes them to identify defects such as spots, lines, and other abnormalities, eliminating human visual differences and subjectivity from the inspection process
Solution Approach 2:
The system provides feedback by comparing captured images against stored reference images and detecting optical parameters to determine defect presence and type. This feedback mechanism enables consistent quality control and identifies defects that would otherwise be missed or misjudged in manual inspection
3Measurement precision
If automated optical inspection is implemented, then inspection accuracy improves by eliminating human visual differences, but the device complexity and initial cost increase
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical detection system that uses cameras and image processing algorithms to detect LCD defects. The system captures images of LCD panels and automatically analyzes them to identify defects such as spots, lines, and other abnormalities, eliminating human visual differences and subjectivity from the inspection process
Solution Approach 2:
The inspection system is segmented into distinct functional modules: image capture units positioned at different locations, optical parameter detection components, image processing units that analyze captured images, and defect determination units that compare results against criteria. This modular segmentation makes the complex system more manageable and maintainable
Data Source
AI summary
A method, an apparatus and an equipment of inspecting the quality of an LCD are provided, the method includes: obtaining optical parameters of the LCD; capturing images of the LCD; and determining that the LCD is defective after determining that the optical parameters are not in the range of the preset optical parameters and/or the captured images of the LCD are not consistent with the pre-stored images. Through the technical solution of the present invention, it can effectively differentiate the defect types of a product and record the defect position of the product, thereby it can effectively reduce misjudgment or miss test caused by the visual differences between operators to improve the quality and yield of manufactured LCD.