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

Yarn Detection Method Based on Image Morphology Recognition

A technology of image morphology and detection method, which is applied in the inspection of textile materials, textiles and papermaking, knitting, etc., can solve the problems of easy interference, large gain of amplifier circuit, and small detection area, and achieves the effect of simple principle and reliable work.

Active Publication Date: 2021-08-10
佛山市君丽织造有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has the advantages of simple principle and low cost, but the gain of the amplifier circuit is very large, it is easy to be interfered, and the detection area is very narrow, which requires high installation

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
  • Yarn Detection Method Based on Image Morphology Recognition
  • Yarn Detection Method Based on Image Morphology Recognition
  • Yarn Detection Method Based on Image Morphology Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] Now in conjunction with accompanying drawing, the present invention will be further described:

[0018] refer to figure 1 -3, the yarn detection method based on image form recognition, a U-shaped housing, and an electronic control device arranged inside the housing, the electronic control device includes a power supply circuit for supplying power, and processing for computing device, an infrared emitting unit 1 and an image sensor 2 connected to the processor, and an infrared filter 3 is arranged on the image sensor 2 .

[0019] The power supply circuit converts the input power level and stabilizes the voltage to provide power for other circuits.

[0020] The image sensor 2 is configured as a CCD linear image sensor or a CMOS linear image sensor sensitive to infrared rays, and the processor can read image data as required.

[0021] The infrared filter 3 can filter out light other than infrared light, which can greatly improve environmental adaptability and avoid inter...

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 discloses a yarn detection method based on image form recognition, which includes a casing and an electronic control device inside the casing, the electronic control device includes a power supply circuit, a processor, an infrared emitting unit connected to the processor, and an electronic control device. Image sensor, described processor is used for realizing yarn form recognition method, and its steps are: (1), the image data that processor collects image sensor output f t (x, y); (2), using the binarization algorithm, the image data f t (x,y) is processed to get y t (x,y); (3), along the x-axis direction y t (x, y) corrodes the width of W pixels to get a fluffy image y’ t (x, y); (4), along the y-axis direction, search the pile image from bottom to top y’ t For the pixel with 1 in (x, y), store the y coordinate position as the fringe list L t ; (5), calculate the fluff list L t with L t‑1 The similarity R between them determines the state of the yarn.

Description

technical field [0001] The invention relates to a yarn detection method based on image form recognition, which belongs to the technical field of textile electronics. Background technique [0002] The automation and unmanned of textile machinery is the foundation of modern textile industry and the foundation of social development. Yarn is the main raw material of clothing, and the quality of yarn determines the quality of clothing. For example, seamless underwear machines and socks machines, if a group of yarns are broken or lack of yarns, if they are not found in time, the whole garment will be scrapped. Therefore, yarn state detection can effectively reduce the defective rate, improve production efficiency, and reduce production costs. In order to realize automatic or unmanned production, a sensor for detecting the yarn state is designed. The yarn state sensor currently used uses a differential infrared photosensitive diode for detection. This method has the advantages o...

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): D04B35/14D04B35/12D06H3/08
CPCD04B35/12D04B35/14D06H3/08
Inventor 刘瑜
Owner 佛山市君丽织造有限公司
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