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

Textile quality detection method and system based on image identification

A technology of image recognition and textiles, applied in the field of intelligent manufacturing equipment, can solve the problems of automatic decision-making priority of customers without manufacturing enterprises

Active Publication Date: 2021-11-26
南通祥元纺织有限公司
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a textile quality detection method and system based on image recognition, which solves the problem of the lack of automatic decision-making priorities for customers in the manufacturing industry due to the diversification of manufacturing order styles and requirements in the prior art. technical issues of the technical program

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
  • Textile quality detection method and system based on image identification
  • Textile quality detection method and system based on image identification
  • Textile quality detection method and system based on image identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] Such as figure 1 As shown, the embodiment of the present application provides a textile quality detection method based on image recognition, wherein the method is applied to a textile quality detection system, and the system is connected in communication with the first image acquisition device, and the method includes:

[0026] S100: Obtain a first inspection environment;

[0027] S200: Obtain a first product to be inspected, place the first product to be inspected in the first inspection environment, and obtain a first image through the first image acquisition device;

[0028]Specifically, the first inspection environment is a preset environment that will not affect the chemical properties and physical properties of the textiles, preferably in a cool, dry and light-proof environment; the first product to be inspected is Textiles that need to undergo quality inspection; the first image acquisition device is a device arranged in the first inspection environment to colle...

Embodiment 2

[0081] Based on the same inventive concept as an image recognition-based textile quality detection method in the foregoing embodiments, as Figure 4 As shown, the embodiment of the present application provides a textile quality inspection system based on image recognition, wherein the system includes:

[0082] A first obtaining unit 11, the first obtaining unit 11 is used to obtain a first inspection environment;

[0083] A second obtaining unit 12, the second obtaining unit 12 is used to obtain a first product to be inspected, place the first product to be inspected in the first inspection environment, and obtain a first image through a first image acquisition device;

[0084] A third obtaining unit 13, the third obtaining unit 13 is configured to perform color feature recognition on the first image, and obtain a first set of abnormal color feature points;

[0085] A fourth obtaining unit 14, the fourth obtaining unit 14 is configured to collect a specific point enlarged ima...

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 textile quality detection method and system based on image identification. The method comprises the following steps of obtaining a first detection environment; obtaining a first to-be-detected product, and placing the first to-be-detected product in the first detection environment to obtain a first image; performing color feature identification on the first image to obtain a first abnormal color feature point set, and performing specific point amplification image acquisition on the position corresponding to the first to-be-detected product to obtain a first abnormal image set; obtaining a first detection result of the first to-be-detected product according to the first abnormal image set; performing fiber boundary extraction on the first image to obtain a first extraction result, and obtaining a fabric uniformity detection result; and obtaining a quality detection result of the first to-be-detected product through the first detection result and the fabric uniformity detection result. According to the present invention, the problem in the prior art that the chemical detection is not suitable for being carried out in the factories with large sample sizes, is solved.

Description

technical field [0001] The invention relates to the related technical field of intelligent manufacturing equipment, in particular to a textile quality detection method and system based on image recognition. Background technique [0002] Textiles are consumables in our daily life, and their quality directly affects people's health; textile testing is one of the important links to ensure the quality of textiles. The fiber quality inspection that is often used at this stage is the chemical inspection of textile fiber quality, using chemical reagents and chemical analysis instruments to carry out chemical inspection on the textiles selected by sampling, but this inspection method has higher requirements for inspectors and the limitation of sampling inspection. With the increase of test samples, the uncertainty and inaccuracy of the test results are increased. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present a...

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
IPC IPC(8): G06T7/00G06K9/46G06N3/04
CPCG06T7/0004G06T2207/30124G06N3/045
Inventor 周凯强
Owner 南通祥元纺织有限公司
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