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Gray cloth defect on-line detecting system based on machine vision and achieving method

A machine vision and detection system technology, applied in the direction of optical testing flaws/defects, etc., can solve the problems of high power consumption of equipment, heavy maintenance workload, and complicated installation of auxiliary equipment

Inactive Publication Date: 2012-12-12
杭州瑞利测控技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above two modes of equipment consume a lot of power, and the installation of auxiliary equipment is complicated and the maintenance workload is heavy.

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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  • Gray cloth defect on-line detecting system based on machine vision and achieving method
  • Gray cloth defect on-line detecting system based on machine vision and achieving method
  • Gray cloth defect on-line detecting system based on machine vision and achieving method

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Embodiment Construction

[0018] The present invention will be further described below in conjunction with accompanying drawing:

[0019] As shown in the figure, this online detection system for gray fabric defects based on machine vision includes a beam device 1-3, a lighting device 1-2, an industrial camera 1-6, an industrial control host 2-2, a display screen 1-1 and an alarm The indicator module, the crossbeam device 1-3 is installed directly above or obliquely above the detected gray cloth 1-7 just completed by the warp knitting machine, and the crossbeam device 1-3 is used for fixing the lighting device 1-2 and fixing the round steel pipe 1-5, A group of industrial cameras 1-6 are fixedly connected to the round steel pipe 1-5; the display control screen 1-1 is connected to the industrial control host 1-2, and various parameters of the system are set through the display control screen in the setting state. The shape of the defect and the area where the defect occurs can be observed; the alarm indi...

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 gray cloth defect on-line detecting system based on machine vision and an achieving method. The gray cloth defect on-line detecting system comprises a cross beam device, a lighting device, industrial cameras, an industrial control host machine, a display control screen and an alarm indicating module. The cross beam device is installed right above or obliquely above gray cloth detected by a warp knitting machine just now and is used for fixing the lighting device and a round steel pipe, and a group of industrial cameras are fixedly connected to the round steel pipe. The display control screen is connected with the industrial control host machine, diameters of the system are set through the display control screen in a setting state, and defect shapes and regions with defects can be observed in an operating state. The alarm indicating module comprises an alarm indicating lamp and a light-emitting diode (LED) information indicating panel, wherein the alarm indicating lamp can alarm an operator in an acousto-optic signal mode when the defects exist, and the LED information indicating panel indicates whether machine detection is normal or not or the regions and positions where the defects exist. The achieving method has the advantages of overcoming the shortage of the method and being a novel method utilizing a machine vision technology in the field of detection of warp knitting defects.

Description

technical field [0001] The invention relates to the field of textiles, in particular to a machine vision-based online detection system for gray cloth defects and an implementation method. Background technique [0002] In the process of weaving cloth by warp knitting machine, cloth defects will appear after the yarn breaks. This type of defect is the most important parameter to evaluate the quality level of warp knitted cloth. In the prior art, the auxiliary detection technology is mainly based on the laser mode and the photoelectric sensing array scanning type. The detection principle is as follows: (1) Laser mode: install a pair of laser diode transmitter and receiver oppositely on the loom, so that the laser light sweeps across the surface of the cloth, and the laser light is perpendicular to the direction of the cloth. When a defect occurs, the corresponding yarn will break. When the yarn is broken, under the action of the airflow generated by the blower and the air guid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/89
Inventor 叶小刚李江涛
Owner 杭州瑞利测控技术有限公司