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An Intelligent Scheme for Fault Detection in Textile Web Materials

by K. V. Naveen Kumar, U. S. Ragupathy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 10
Year of Publication: 2012
Authors: K. V. Naveen Kumar, U. S. Ragupathy
10.5120/6945-9316

K. V. Naveen Kumar, U. S. Ragupathy . An Intelligent Scheme for Fault Detection in Textile Web Materials. International Journal of Computer Applications. 46, 10 ( May 2012), 24-29. DOI=10.5120/6945-9316

@article{ 10.5120/6945-9316,
author = { K. V. Naveen Kumar, U. S. Ragupathy },
title = { An Intelligent Scheme for Fault Detection in Textile Web Materials },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 10 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number10/6945-9316/ },
doi = { 10.5120/6945-9316 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:23.893086+05:30
%A K. V. Naveen Kumar
%A U. S. Ragupathy
%T An Intelligent Scheme for Fault Detection in Textile Web Materials
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 10
%P 24-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Indian textile industry has a major impact on the world economy through millenniums. At present all the textile industries aim to produce competitive fabrics. The competition depends mainly on productivity and quality of the fabrics produced by industry. In the textile sector, there are huge losses due to faulty fabrics. Fault identification in the manufactured fabric is the most complicated process in the textile industry. Existing fabric inspection methods are carried out by human visual inspection, or by imported machines. But it is time consuming and costly. The proposed method of computational intelligence based fabric inspection method aims to produce a low cost method with higher efficiency. The video of the knitted fabric that is rolled is being captured and it is converted into individual frames. Then the extracted frames are processed to find its defects and those defects are classified using computational techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Computational Intelligence Fabric Inspection fault Identification Feature Extraction Frame Extraction

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