Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A learning-based intelligent detection method and device for display screen defects

A detection method and intelligent detection technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as slow response and cumbersome operation

Active Publication Date: 2020-12-29
BEIJING LUSTER LIGHTTECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a learning-based intelligent detection method and device for display screen defects to solve the problems of cumbersome operation and slow response in existing screen defect detection methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A learning-based intelligent detection method and device for display screen defects
  • A learning-based intelligent detection method and device for display screen defects
  • A learning-based intelligent detection method and device for display screen defects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0065] see figure 1 , which is a flow chart of a learning-based intelligent detection method for display screen defects provided by an embodiment of the present application, the method comprising:

[0066] Step 100, acquiring the image to be detected of the screen;

[0067] Step 200, according to the preset network parameters, determine the suspicious defect information of the image to be detected, the suspicious defect information at least includes: a suspiciou...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a learning-based intelligent detection method and device for display screen defects, wherein the method comprises the following steps of: obtaining an image to be detected of ascreen; determining suspicious defect information of the image to be detected according to preset network parameters; extracting a defect characteristic value according to the suspected defect information; determining a final detection result according to the defect characteristic value; collecting all the final detection results as a result set; randomly selecting the final detection result in the result set as a sampling sample, re-detecting the sampling sample, and determining that the detection result is different from the final detection result as a result to be fed back; feeding back theresult to be fed back, learning and generating the next preset network parameter according to the result to be fed back; according to the next preset network parameter, the preset network parameter being updated, and according to the updated preset network parameter, the next image to be detected being detected.

Description

technical field [0001] The present application relates to the technical field of screen detection, in particular to a learning-based intelligent detection method and device for display screen defects. Background technique [0002] "New display industry", as one of the emerging strategic industries supported by the Chinese government, has made great progress in recent years with the active support of the government. At present, my country's liquid crystal display industry is experiencing a stage of constant expansion, increased shipments, and technological improvement. Display defect detection is an important link for display manufacturers to ensure the quality of shipments. At present, there are mainly two methods of screen inspection: manual inspection and AOI equipment inspection. Among them, the AOI equipment detection method has gradually replaced the traditional manual detection and become the mainstream detection method, but it also faces unstable defect benchmarks, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0004G06T2207/20081G06T2207/30121
Inventor 时广军姚毅马增婷路建伟
Owner BEIJING LUSTER LIGHTTECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com