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Mesh fabrics screen length deviation rate detection system based on machine vision

A machine vision and detection system technology, applied in the field of detection systems, can solve problems such as insufficient installation space of the detection system, and achieve the effects of reducing labor intensity and missed inspection rate of workers, overcoming insufficient installation space and simple structure.

Inactive Publication Date: 2017-12-22
JIANGSU UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies in the prior art, the present invention provides a machine vision-based detection system for mesh length deviation rate of mesh fabrics. This detection system not only reduces the labor intensity of workers, improves detection accuracy, and solves the problem of traditional detection Insufficient space for system 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
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  • Mesh fabrics screen length deviation rate detection system based on machine vision
  • Mesh fabrics screen length deviation rate detection system based on machine vision
  • Mesh fabrics screen length deviation rate detection system based on machine vision

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0045] like figure 1 As shown, a kind of mesh fabric mesh length deviation rate detection system based on machine vision of the present invention includes industrial computer 2, display 1, light source 3, image acquisition card, adjustable image acquisition device and alarm 5, like figure 2As shown, the adjustable image acquisition device includes a CCD industrial camera 4 and a mobile device, the mobile device includes a base 15 and a motor 16, and the two ends of the base 15 are provided with a guide rail 13, a slide block 17, a screw support Seat 18, ball screw 19 and support frame 11, described guide rail 13 is installed on the upper surface of base 15, and described slider 17 is slidably connected with guide rail 13, and described ball screw 19 is positioned at the...

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 provides a mesh fabrics screen length deviation rate detection system based on machine vision. The system comprises an industrial personal computer, a display, a light source, an image acquisition card, an adjustable image acquisition device and an alarm. The adjustable image acquisition device comprises a CCD industrial camera and a mobile device. A network to be detected is arranged between the CCD industrial camera and the light source. The CCD industrial camera is electrically connected with the industrial personal computer through the image acquisition card. The display and the alarm are respectively communicated with the industrial personal computer. The real-time screen image of the CCD industrial camera is transmitted to the industrial personal computer. The industrial personal computer uses a feature extraction method based on coordinates to process an acquired image, and at the same time calculates the length deviation rate of each screen to acquire the extreme value of the deviation rate. Whether a result is within a set deviation rate range is judged. If the result is beyond the set range, the alarm is switched on. According to the invention, manual measurement is replaced; the worker's labor intensity and the missed inspection rate are reduced; and the degree of automation of a netting process is improved.

Description

technical field [0001] The invention relates to a detection system, in particular to a detection system for the mesh length deviation rate of mesh fabric based on machine vision. Background technique [0002] Mesh fabric refers to the fabric with certain regular meshes in the fabric structure. It has been used in many fields such as automobile, medical treatment, hygiene, sports and leisure, filter cleaning, safety protection, aerospace and so on. However, as mesh fabrics are used more and more widely, people have higher and higher requirements for their surface quality. How to improve the quality of mesh fabrics and realize the automation of mesh fabric surface quality testing has become a constraint for its development. The key factor. The surface quality of mesh fabric is mainly determined by the mesh length deviation rate. For a long time, the measurement of the deviation rate of the mesh length is by manual measurement. However, this method has many disadvantages. Fi...

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): G01B11/03G01N21/95
CPCG01B11/03G01N21/95
Inventor 顾寄南唐良颖唐仕喜洪后紧王飞朱林童许悦崔东慧潘甜
Owner JIANGSU UNIV
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