SPC Variation Detection for Display Panel Quality Inspection

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Solution Overview

Problem

Manual judgment of variation values in display panel quality inspection leads to errors and low production efficiency, necessitating an automated detection method.

Innovation Solution

A method utilizing an SPC system for automatic detection and judgment of variation values by selecting numerical values from non-overlapping time intervals and employing statistical analysis, such as nonparametric statistics and the Levene detection algorithm, to compare and identify variations in optical and appearance characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual judgment is used to determine variation values, then flexibility in analysis is maintained, but production efficiency is low and judgment errors occur

Engineering Contradiction:

Improveproduction efficiencyVSAvoidjudgment accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent replaces the manual mechanical judgment process with an automated computer-based system that collects data from databases, performs statistical analysis using algorithms like Levene's test, and generates variation detection results automatically. This substitution eliminates human judgment errors while maintaining high productivity through automated processing of quality inspection data.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated detection is implemented, then production efficiency is improved, but system complexity increases

Engineering Contradiction:

Improveproduction efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated detection system is designed to handle multiple quality inspection parameters (brightness, chromaticity, appearance size) and perform various statistical analyses through a unified platform. The system can detect different types of variations (mean, standard deviation, skewness, kurtosis) using the same core architecture, reducing overall system complexity while maintaining high productivity across diverse inspection tasks.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If statistical analysis methods are used to detect variation values, then detection accuracy is improved, but computational time increases

Engineering Contradiction:

Improvedetection accuracyVSAvoidcomputational time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-calculates and stores baseline quality data in databases during normal production, organizing data by time intervals and product characteristics. When variation detection is needed, the system quickly retrieves pre-organized data and applies statistical tests, significantly reducing computational time while maintaining high detection accuracy through established statistical methodologies.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11486765B2Method for detecting variation value

Publication Date: 2022.11.01 HKC CORP LTD

AI summary

Embodiments of the present disclosure provides a method for detecting variation value comprising selecting a numerical value in a first time interval as a comparison basis; selecting a numerical value in a second time interval as a inspection interval; statistically identifying the numerical value of the inspection interval and the numerical value of the comparison basis are to detect a variation value.