Touch Panel Defect Detection via Striped Light Refraction
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Solution Overview
Problem
Manual visual inspection of touch panels, especially those with curved edges, is labor-intensive, requires multiple personnel, and is prone to human error and efficiency bottlenecks as production volume increases, necessitating a more efficient detection method.
Innovation Solution
A detection device comprising an LCD monitor that emits a striped light pattern, a transfer device to position the touch panel, a camera to capture the light pattern's image, and a processor to analyze the image for defects, allowing for rapid detection of 'opening defects', 'edge area defects', 'opening barrier defects', and 'interface defects' between the central and edge areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection is used to detect touch panel defects, then detection accuracy is maintained through human observation, but labor costs increase and detection efficiency decreases as production volume increases
Solution Approach 1:
The patent replaces the manual visual inspection system with an automated optical detection system. A light source emits light through the touch panel, and a camera captures the transmitted light pattern. A processor then analyzes the captured image to identify defects such as air bubbles, impurities, and uneven thickness. This substitution eliminates human labor while maintaining or improving detection accuracy through consistent automated analysis.
Solution Approach 2:
The patent creates an optical copy of the touch panel's internal structure by capturing light transmission patterns. The camera records the light pattern that passes through the touch panel, creating an image copy that represents the panel's quality characteristics. This optical copy allows for detailed defect analysis without requiring physical contact or human visual inspection, enabling automated high-speed detection.
2Reliability
If multiple detecting personnel are deployed to comprehensively detect all produced touch panels, then detection coverage is improved, but labor costs and operational complexity increase
Solution Approach 1:
The automated detection system is designed to perform multiple detection functions using a single integrated apparatus. The light source, camera, and processor work together to detect various defect types including air bubbles, impurities, uneven thickness, and edge defects simultaneously. This multi-functional system replaces multiple specialized inspectors, reducing operational complexity while maintaining comprehensive detection coverage.
3Measurement precision
If manual detection is used for touch panels with curved edge areas and openings, then human inspectors can identify complex defect patterns, but the detection process becomes time-consuming and prone to human error
Solution Approach 1:
The patent changes the detection parameters by using light transmission characteristics to reveal defect patterns. Different defect types (air bubbles, impurities, uneven thickness) affect light transmission differently, creating distinct patterns in the captured image. The processor analyzes these optical parameter variations to rapidly identify and classify defects with high accuracy, eliminating the time-consuming manual inspection process while maintaining precision.
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
Enables rapid and accurate detection of touch panel defects, reducing labor costs and improving efficiency by analyzing images formed by striped light patterns, thereby identifying defects such as refracted images that indicate defects in the touch panel.
Implementation Method 1
at least one camera is adapted to capture an image formed by the at least one striped light pattern through the touch panel
Implementation Method 2
The LCD monitor is adapted to emit at least one striped light pattern
Data Source
AI summary
A detection method for a touch panel is provided. The method includes the following steps: (a) using a transfer device to move the touch panel; (b) placing the touch panel on an LCD monitor; (c) emitting at least one striped light pattern from the LCD monitor; (d) using at least one camera to capture an image that is formed by the at least one striped light pattern through the touch panel; and (e) using a processor to analyze the image to complete the detection of the touch panel.