Mobile Display-Frame Gap Inspection for Seal Breach Detection
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Solution Overview
Problem
Mobile devices face issues with electronic displays physically shifting from their manufactured position in the frame, leading to environmental seal breaches and potential failures due to air or liquid migration, which are not effectively addressed by existing evaluation methods.
Innovation Solution
A diagnostic tool using a line scanner to capture data along the edge of a mobile device, processing the data to calculate the distance between the display and frame, and comparing it to a predetermined threshold to detect unacceptable shifts, indicating potential seal breaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional visual inspection methods are used to evaluate mobile devices, then the evaluation process is simple and quick, but it cannot detect non-obvious delaminating and mechanical shifting of the display from the frame
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical measurement system using a line scanner to capture cross-sectional profiles of the display and frame. This substitution of mechanical/manual methods with optical measurement enables detection of subtle delaminating and shifting that are invisible to human inspection, directly resolving the contradiction between detection precision and system complexity.
Solution Approach 2:
The patent introduces a line scanner as an intermediary device that captures optical profiles of the display-frame assembly. This intermediary measurement tool translates physical dimensions into detectable signal data, enabling indirect detection of delaminating and mechanical shifting without requiring direct physical contact or complex disassembly, thus improving detection capability while managing system complexity.
2Measurement precision
If the mobile device is disassembled to inspect for delaminating and shifting, then detection accuracy improves, but productivity decreases and additional damage risk increases
Solution Approach 1:
The patent performs measurement and detection actions before any disassembly occurs. The line scanner captures the cross-sectional profile of the intact display-frame assembly, enabling detection of delaminating and shifting in the assembled state. This preliminary non-invasive measurement achieves high detection accuracy while maintaining productivity by eliminating the need for time-consuming disassembly and reassembly processes.
Solution Approach 2:
The patent replaces physical disassembly with optical measurement. Instead of mechanically separating components to inspect for defects, the system uses a line scanner to optically capture and analyze the cross-sectional profile, substituting a non-contact measurement method that preserves both productivity and detection accuracy without introducing mechanical damage risks.
3Measurement precision
If manual inspection methods are used, then equipment cost is low, but measurement precision and reliability of defect detection are insufficient
Solution Approach 1:
The patent replaces simple manual inspection tools with an automated line scanner system that captures precise cross-sectional profiles. This mechanical-to-optical substitution enables quantitative measurement of display position relative to the frame, achieving high defect detection precision through automated image processing and analysis algorithms, thereby justifying the increased device complexity through superior measurement capabilities.
Solution Approach 2:
The patent creates an optical copy or replica of the physical display-frame cross-section through line scanner imaging. This digital copy allows for precise measurement and analysis of the cross-sectional profile without altering the physical object, enabling high-precision defect detection through data processing while managing the complexity of the diagnostic system through software-based analysis.
Data Source
AI summary
A system of evaluating a mobile device includes an imaging device to capture data taken along an edge of the mobile device; and a processing device to process the data and calculate a difference in distance between a surface of a display and a frame of the mobile device and compare the difference in distance to a predetermined value.