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

Training system for display panel defect recognition

A technology for displaying panel defects and training systems, which is applied to simulation devices, instruments, simulators and other directions of space navigation conditions, can solve problems such as poor results and increased return risk, shorten the training period, increase practice opportunities, and improve training. effect of effect

Active Publication Date: 2011-12-07
AU OPTRONICS (SUZHOU) CORP LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to improve the training efficiency, the current general method is to select a large number of training panels for the operators to repeatedly identify and practice, but this method not only requires a large number of training panels with various defects, but also requires a large number of instructors; or there is a direct Let the operators learn by doing on the production line, but the actual operation effect is not good, which often leads to an increase in the risk of subsequent returns

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
  • Training system for display panel defect recognition
  • Training system for display panel defect recognition
  • Training system for display panel defect recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] In order to have a further understanding of the purpose, structure, features, and functions of the present invention, the following detailed descriptions are provided in conjunction with the embodiments.

[0015] See figure 1 , figure 1 It is a block diagram of a training system for display panel defect recognition according to an embodiment of the present invention. The training system 1 for display panel defect recognition includes an input module 11 , a processing module 12 , a generation module 13 and a display module 14 . The input module 11 outputs an input signal 111 according to a user operation 110 . In one embodiment, the user operation 110 includes but not limited to keyboard input, mouse click, touch selection, and the like. The processing module 12 is connected to the input module 11 and generates identification information 121 according to the input signal 111 . The generating module 13 is connected to the processing module 12 and provides the defect i...

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 relates to a training system for defect identification of a display panel. The training system includes an input module, a processing module, a generating module and a display module. The input module outputs input signals according to user operations. The processing module is connected to the input module and generates identification information according to the input signal. The generating module is connected to the processing module and provides defect information to the processing module. The display module is connected to the processing module and the generating module, and displays a defect picture corresponding to the defect information. Wherein, the processing module compares the identification information with the defect information, and obtains a discrimination result. Through the present invention, the limitation of physical training can be broken, and the practice opportunities of operators engaged in display panel defect identification can be increased, thereby improving production efficiency.

Description

technical field [0001] The present invention relates to a training system for identifying defects of a display panel, in particular to a training system for identifying defects of a display panel which facilitates training of operators. Background technique [0002] Various flat panel display devices have been widely used in people's work and life. Taking the liquid crystal display device as an example, the liquid crystal display panel is an important component thereof, which is crucial to the quality of the displayed image. During the production process of the display panel, it is necessary to carry out defect detection, and this detection work takes a long time to train the operators, which greatly restricts the improvement of factory productivity. In order to improve the training efficiency, the current general method is to select a large number of training panels for the operators to repeatedly identify and practice, but this method not only requires a large number of t...

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): G09B9/00
Inventor 姚志龙贾明瑶
Owner AU OPTRONICS (SUZHOU) CORP LTD
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