E. Gülteki̇n, H. Çelik, L. Dülger, Halil İbrahim Sünbül
{"title":"A Machine Vision Solution for Industrial Application of Abrage Inspection and Diameter Measurement On Yarn Bobbins","authors":"E. Gülteki̇n, H. Çelik, L. Dülger, Halil İbrahim Sünbül","doi":"10.32710/tekstilvekonfeksiyon.1106638","DOIUrl":null,"url":null,"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.","PeriodicalId":22221,"journal":{"name":"Tekstil Ve Konfeksiyon","volume":"1 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tekstil Ve Konfeksiyon","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.32710/tekstilvekonfeksiyon.1106638","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, TEXTILES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Tekstil ve Konfeksiyon, publishes papers on both fundamental and applied research in various branches of apparel and textile technology and allied areas such as production and properties of natural and synthetic fibers, yarns and fabrics, technical textiles, finishing applications, garment technology, analysis, testing, and quality control.