A Machine Vision Solution for Industrial Application of Abrage Inspection and Diameter Measurement on Yarn Bobbins

Year 2024, Volume: 34 Issue: 1, 1 - 10, 31.03.2024

Elif Gültekin , Halil İbrahim Çelik , Lale Canan Dülger , Halil İbrahim Sünbül

https://doi.org/10.32710/tekstilvekonfeksiyon.1106638

Abstract

The abrage fault inspection and bobbin diameter measurement are very important processes in yarn manufacturing industry. These processes are performed manually, and so they are difficult, low efficient, time-consuming processes. The abrage faults are seen as colour or shade difference on the dyed fabric. This happens when the bobbins including abrage are converted to the fabric form, mistakes in colour differences are seen after dyeing process. An automatic machine vision system was developed for detecting abrage fault, and bobbin diameter from yarn bobbin cross-section view. Image processing software was developed and applied on different sizes of bobbin samples including different types of abrage fault. The success of vision system was statistically evaluated by detecting the bobbin abrage faults with 95.83% accuracy. In addition, the bobbin diameters obtained from the developed image processing algorithm were statistically analysed and the correlation coefficient (R2=0.99) was calculated.

Keywords

Bilinear interpolation, local thresholding, machine vision system, yarn faults, bobbin diameter

Supporting Institution

TUBİTAK

Project Number

5160116

Thanks

This study is supported by the Scientific and Technological Research Council of Turkey (TUBİTAK) under Grant Project Number: 5160116. The author(s) wish to thank for their financial support.

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