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

Paper defect detection system based on image pattern recognition

A pattern recognition and paper defect detection technology, applied in the field of pattern recognition, can solve the problems that cannot meet the requirements of automation

Inactive Publication Date: 2012-10-17
TAICANG BOTIAN NETWORK TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Currently commonly used visual inspection methods cannot meet the automation requirements in the production process

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
  • Paper defect detection system based on image pattern recognition
  • Paper defect detection system based on image pattern recognition
  • Paper defect detection system based on image pattern recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] figure 1 It is a system schematic diagram of an embodiment provided by the present invention. This system is mainly composed of image acquisition from CCD, primary color selection, binarization, primary filtering, image analysis, and secondary filtering.

[0038] figure 2 Flow chart for CCD paper detection. The CCD static paper detection system uses CCD to take the paper image into the computer and converts the image into a digital signal, that is, the computer image is composed of many pixels, and then these pixels are analyzed through computer software to detect the black spots on the paper And transparent dots, etc., count the number and area of ​​black dots and transparent dots on the paper, compare the paper standards stored in the computer in advance, automatically classify the paper quality, and automatically alarm for unqualified paper, and automatically calculate it The failure rate of paper and the proportion of paper at all levels, the working principle and fl...

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

According to the invention, a CCD paper defect detection system based on image pattern recognition is designed according to a paper quality grading method. According to the invention, with a CCD technology, paper surface quality is subjected to real-time detection and dynamic measuring; the paper products are automatically classified according to the qualities, and paper defects such as black spots and holes on the paper surfaces are detected; the papers are automatically classified, and alarming is performed when unqualified papers are detected; and a failure arte of the papers and a proportion of each grade of the papers can be obtained by automatic calculation. Therefore, detection efficiency is improved, and various data of the papers is automatically counted.

Description

technical field [0001] The invention relates to pattern recognition, more specifically, to a paper defect testing system based on image pattern recognition. Background technique [0002] At present, there are many manufacturers of paper, but they all suffer from the lack of a good method to carry out quality inspection on the appearance of the produced paper. Many of them still carry out sampling inspection manually, which is time-consuming and laborious. The CCD static paper detection system uses CCD to capture the paper image into the computer, and then automatically analyzes the paper image through the computer to detect black spots and cavities on the paper, and can automatically classify the appearance quality of the paper. For unqualified The paper can automatically alarm, and can automatically calculate the unqualified rate of paper and the proportion of paper at all levels. This not only improves the detection efficiency, but also can automatically count various dat...

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 Applications(China)
IPC IPC(8): G01N21/88
Inventor 苏淳
Owner TAICANG BOTIAN NETWORK TECH
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