F9779038620

Smart Dye Inspection System in Textile Industry
K. Yuvaraj¹, T. Nivetha², J. Sushma³, T.S. Sutharsan⁴, M. Rajadurai Ramajeyam^5
1K. Yuvaraj* Assistant Professor, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India.
²T. Nivetha, UG Graduate, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India.
³J. Sushma, UG Graduate, Department of. Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.
⁴T. S. Sutharsan, UG Graduate, Department of.Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.
⁵M. Rajadurai Ramajeyam, UG Graduate, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India.
Manuscript received on February 27, 2020. | Revised Manuscript received on March 14, 2020. | Manuscript published on March 30, 2020. | PP: 5061-5063 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9779038620/2020©BEIESP | DOI: 10.35940/ijrte.F9779.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Dye Inspection, Feature Reduction, Image Analysis, Image Processing.
Scope of the Article: Adaptive Systems.