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Textile Quality Monitoring System


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1 Department of Information Technology at Karunya University, Coimbatore, India
     

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In general every looms are manufacturing the cloth with certain reed and pick, it simply represents the thickness of the cloth by which the distance of warp yarn and weft yarn weaving with respect to each other. It’s also called as the thickness of the cloth. If it keeps constant over the entire length of the cloth means, there will not be error or vice versa. The main concept of the project is to identify the damaged cloth which may be fabric pores, color bleeding and defective yarns which will be mingled with good cloth at particular areas such as textile fabric industries, garments and weaving factories etc. A web camera is used in capturing the details of the cloth to be monitored. In this “Textile Quality Monitoring System (TQM)”, discrete wavelet transform algorithm is used to process each frames of the cloth captured by the web camera for finding the defects in cloth.

Keywords

Textile Quality Monitoring System, Discrete Wavelet Transform, Damaged Cloth Detection.
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  • Textile Quality Monitoring System

Abstract Views: 258  |  PDF Views: 2

Authors

R. Prasath
Department of Information Technology at Karunya University, Coimbatore, India
P. Suresh
Department of Information Technology at Karunya University, Coimbatore, India

Abstract


In general every looms are manufacturing the cloth with certain reed and pick, it simply represents the thickness of the cloth by which the distance of warp yarn and weft yarn weaving with respect to each other. It’s also called as the thickness of the cloth. If it keeps constant over the entire length of the cloth means, there will not be error or vice versa. The main concept of the project is to identify the damaged cloth which may be fabric pores, color bleeding and defective yarns which will be mingled with good cloth at particular areas such as textile fabric industries, garments and weaving factories etc. A web camera is used in capturing the details of the cloth to be monitored. In this “Textile Quality Monitoring System (TQM)”, discrete wavelet transform algorithm is used to process each frames of the cloth captured by the web camera for finding the defects in cloth.

Keywords


Textile Quality Monitoring System, Discrete Wavelet Transform, Damaged Cloth Detection.