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Journals / Tekstil ve Konfeksiyon / 2018 / Cilt: 28 - Sayı: 3

YAPAY GÖRME TABANLI KUMAŞ HATA TESPİT SİSTEMİ

Devrim Demiray SOYASLAN
İbrahim KARATAŞ
Pages
236–240
Publication Date
2018-10-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Obtained fabric images were converted into histograms by a computer program developed within the scope of this study and defect types were characterized

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Due to the cost and complexity of existing defect detection systems, a fabric defect detection device based on an artificial vision system has been developed in this study.
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Key Findings & Data:Using knitted pile fabric, six types of defects were studied: loop drop, fly defect, grease spot, cross- striped defect, hole defect and pilling defect.
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Conclusion & Impact:Obtained fabric images were converted into histograms by a computer program developed within the scope of this study and defect types were characterized
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Artificial vision · defect detection · textile

Abstract

Due to the cost and complexity of existing defect detection systems, a fabric defect detection device based on an artificial vision system has been developed in this study. Using knitted pile fabric, six types of defects were studied: loop drop, fly defect, grease spot, cross- striped defect, hole defect and pilling defect. Obtained fabric images were converted into histograms by a computer program developed within the scope of this study and defect types were characterized

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Cite This Article

SOYASLAN, D. D., KARATAŞ, İ. (2018). YAPAY GÖRME TABANLI KUMAŞ HATA TESPİT SİSTEMİ. Tekstil ve Konfeksiyon, Cilt: 28 - Sayı: 3, 236–240. https://ajindex.com/articles/46016

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