Cloth surface defect detection device and method based on machine vision

A defect detection and machine vision technology, used in measuring devices, instruments, scientific instruments, etc., can solve problems such as damage to the eyesight of cloth inspectors and boring cloth defect detection.

Pending Publication Date: 2021-12-10
杭州信畅信息科技有限公司
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the detection of cloth defects is boring, which seriously damages the eyesight of cloth inspection workers

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
  • Cloth surface defect detection device and method based on machine vision
  • Cloth surface defect detection device and method based on machine vision
  • Cloth surface defect detection device and method based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] The object of the present invention is to provide a cloth surface defect detection device and method based on machine vision, so as to quickly identify the defect area in the textile cloth defect image and realize the automation of cloth quality detection.

[0050] To achieve the above object, the present invention adopts the following technical solutions:

[0051] A cloth surface defect detection device based on machine vision, the detailed structure can be seen figure 1 , including mechanical components assembled in modules, including a preprocessing module, a visual inspection module, and a winding module. The preprocessing module flattens the cloth in progress and sends it to the visual inspection module. The image of the cloth is used for defect detection, and the winding module performs side-to-side winding of the detected cloth.

[0052] The aforementio...

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 cloth surface defect detection device and method based on machine vision. The detection device is assembled by modules, and comprises a preprocessing module, a visual detection module and a rolling module. The method comprises the steps of: using an area-array camera module in the visual detection module to shoot a defect-free cloth image as a standard sample, calculating a flat field correction matrix according to the standard sample, and realizing brightness compensation; calculating a clustering center and other characteristic parameters of the standard sample by adopting a principle of a K-means clustering algorithm; shooting cloth to be detected in real time and performing flat-field correction by the area-array camera module; carrying out edge detection and area cutting according to a brightness value difference between the background and the cloth image; calculating the Euclidean distance from a pixel of a to-be-detected image to a clustering center, and judging whether defects exist or not according to a threshold value; and if so, storing the defect image. The problems that traditional manual visual inspection is low in detection speed, low in precision, high in omission ratio and high in false detection rate are solved, and automatic detection development in the textile field is promoted.

Description

technical field [0001] The invention relates to the field of cloth detection, in particular to a machine vision-based cloth surface defect detection device and method, which can detect defects in running cloth in real time. Background technique [0002] The textile industry occupies an important position in the national economy and provides people with indispensable items in daily life such as clothes, curtains and bedding, and is closely related to people's lives. However, in the process of textile production, factors such as mechanical failure, manual operation error and external environmental interference will cause defects on the surface of textiles. The occurrence of defects will seriously affect the appearance of textiles, and will cause serious damage to the corporate image and economic benefits of textile manufacturers. In the textile industry, cloth defects directly affect the grading of cloth. According to its quality, cloth can be divided into first-class, first...

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): G01N21/01G01N21/898
CPCG01N21/01G01N21/8983
Inventor 沈人庄健尚金道
Owner 杭州信畅信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products