Method, device and equipment for detecting defects of liquid crystal display screen and storage medium

Through a dynamic intelligent detection process that combines human-machine collaboration, combined with the defect re-inspection priority index Dpr and the re-inspection time consumption evaluation value Tce, the problems of low efficiency and false detection and missed detection in LCD display defect detection are solved, and efficient and accurate detection results are achieved.

CN120802526APending Publication Date: 2025-10-17SHENZHEN LONGYU TECH CO LTD
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Patent Information

Application Number
CN202511181914.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-22
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

Existing methods for detecting defects in liquid crystal displays rely on manual inspection, which is inefficient and susceptible to subjective influences. Automated inspection methods suffer from serious false detections and missed detections in complex backgrounds, making it difficult to improve detection accuracy and efficiency.

Method used

A dynamic intelligent detection process that combines human and machine collaboration is adopted. The automated system preliminarily screens suspected defects, and dynamically allocates tasks based on the defect re-inspection priority index Dpr and the re-inspection time consumption assessment value Tce. This achieves efficient collaboration between manual and automated systems and optimizes the configuration of detection resources.

Benefits of technology

It significantly improves detection efficiency and accuracy, solves the problems of low efficiency and false detection and missed detection in traditional detection methods, and realizes refined management and enhanced robustness of the detection process.

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Abstract

The invention discloses a method, device and equipment for detecting defects of a liquid crystal display screen and a storage medium, relates to the technical field of display panel manufacturing, and aims to reduce the reinspection amount through automatic preliminary screening and perform quantitative analysis based on a defect reinspection priority index Dpr and a reinspection time consumption evaluation value Tce. And then task segmentation of machine quantification and manual judgment is performed on a specific high-time-consumption defect, and deep integration of man-machine advantages is realized. More importantly, the system calculates the real-time bearing capacity ICC by monitoring the seat load in real time, and ensures that the task is accurately matched to the detector in the best state. Through double perception and intelligent matching of defects and personnel, the problems of low efficiency, overload and false detection of traditional detection are fundamentally solved, and the comprehensive performance and robustness of the system are remarkably improved.
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