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Smart Dye Inspection System in Textile Industry
Author(s) -
K. Yuvaraj,
T. Nivetha,
J. Sushma,
T. S. Sutharsan,
M. Rajadurai Ramajeyam
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9779.038620
Subject(s) - dyeing , textile , textile industry , computer science , task (project management) , engineering drawing , process engineering , artificial intelligence , engineering , materials science , composite material , archaeology , systems engineering , history
Inspection on the dyed material in the textile industry is facing a challenging task owing to the accurate measurement of the dye concentration added. Currently manual inspection is done. It consumes more time and less accurate. The proposed work provides a solution to above problem. The image of reference material (cloth) is captured and the features are extracted using image processing techniques. The color concentration of both the reference material and the test fabric is compared. If the dye concentration of the test fabric matches with the reference material, then it is a perfect dyed cloth whereas for mismatched samples, the concentration is to be adjusted is displayed. This smart dyeing inspection system reduces the manual operation and saves time and results in high accuracy.

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