Textile machine vision detection method and system

A visual inspection and textile machine technology, applied in the direction of measuring devices, optical testing of flaws/defects, and material analysis through optical means, can solve the problems of low automation of the inspection process, low intelligence of algorithms, and high cost of visual inspection. It achieves the effect of facilitating transmission, good image quality and low labor cost

Pending Publication Date: 2020-10-09
浙江双元科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] According to the prior art, the present invention provides the visual detection of textile machine defects. It is necessary to install a plurality of industrial cameras on the sliding table of the textile machine. The detected image processing is based on the hardware module. The visual detection cost is high and the installation is troublesome. , and the relevant hardware configuration needs to be replaced for different fabric detection, and the visual detection process is based on the detection in the textile process, and the algorithm has a low degree of intelligence, and the detection process has a low degree of automation. A textile machine visual detection method and system are provided.

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
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  • Textile machine vision detection method and system
  • Textile machine vision detection method and system
  • Textile machine vision detection method and system

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Experimental program
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Effect test

Embodiment 1

[0046] A textile machine visual inspection method, the method includes,

[0047] Step 1, image acquisition, through the sliding of the industrial camera on the sliding table structure, image acquisition is performed on the cloth surface of the textile machine during the weaving process;

[0048] Step 2, image analysis and processing, intelligent analysis and processing of image layering, image magnification, image deshaking, image anti-reflection, image halo removal and image dust removal are performed on the collected cloth image through the embedded host computer, and the cloth is judged Whether the surface image is flawed, when the cloth image is flawed, then perform step 3, otherwise repeat step 2 to analyze and process the cloth image collected in the next frame;

[0049]Step 3, the analyzed cloth image is alarmed and displayed through the human-computer interaction module, and controlled through the control module. Since the industrial camera collects the cloth image of...

Embodiment 2

[0060] On the basis of Embodiment 1, the image enlargement process includes, when there is a defect in the cloth image, sending a control command to the control module through the human-computer interaction module;

[0061] The control module automatically adjusts the zoom distance of the industrial camera lens according to the received control command, and enlarges the cloth image with defects; and analyzes the image details of the enlarged cloth image. The analysis of the image details mainly includes the analysis of the broken warp and weft of the cloth surface. The specific image is based on the attached Figure 6 And attached Figure 7 .

[0062] The image is analyzed by adjusting the lens zoom distance of the industrial camera through the control module, which has a high degree of automation and is easy to operate.

Embodiment 3

[0064] On the basis of the above-mentioned embodiments, the textile machine visual inspection system realized by the textile machine visual inspection method includes a slide mechanism, an industrial camera, an embedded host, a human-computer interaction module and a control module,

[0065] The industrial camera is installed on the sliding table mechanism, and the industrial camera moves with the movement of the sliding table mechanism;

[0066] The industrial camera is connected to the embedded host, and the image is transmitted to the embedded host through the TCP / IP network protocol; the embedded host performs image layering, image enlargement, image deshaking, image dereflection, and image Intelligent analysis and processing of halo removal and image dust removal, and send the intelligently analyzed and processed images to the human-computer interaction module;

[0067] The human-computer interaction module is connected with the control module, and transmits the received ...

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
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Abstract

The invention relates to a textile machine detection technology, and discloses a textile machine vision detection method and system. The method comprises the steps of image acquisition: performing sliding of an industrial camera on a sliding table framework to realize acquisition of a cloth cover image: image analysis and processing: carrying out intelligent analysis and processing of image layering, image amplification, image dithering removal, image reflection elimination, image halo removal and image dust removal on the acquired cloth cover image, and judging whether the cloth cover image has flaws or not; image control management: alarming and displaying the analyzed cloth cover image through a man-machine interaction module, and controlling through a control module. The industrial camera performs image acquisition along with sliding of the sliding table, image analysis is performed through layering, the processing operation capability is high, the cost power consumption is low, the image quality is good, cloth cover images can be acquired only by replacing the sliding table mechanism with the industrial camera for different textile machines, the whole operation is simple, andthe cost is low.

Description

technical field [0001] The invention relates to a textile machine detection technology, in particular to a textile machine visual detection method and system. Background technique [0002] At present, the visual inspection system of textile machines on the market is to install multiple industrial cameras on the textile machine. The processing of the cameras is carried out on the hardware module. Hardware configuration; and the intelligence level of the existing textile machine vision detection algorithm is low. [0003] The patent name is: A visual detection system for textile woven fabric defects, application number CN201210431962.3, the application date is 2012.11.02, a visual detection system for textile woven fabric defects, which includes a visual inspection system, a host processing Interactive handheld terminal, man-machine interface display device, machine vision light source system, warning light, remote monitoring device and textile machine electrical control box;...

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
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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G01N21/01
CPCG01N21/01G01N21/88G01N2021/0131G01N2021/0175G01N2021/0181
Inventor 郑建胡美琴
Owner 浙江双元科技股份有限公司
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