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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Obtained fabric images were converted into histograms by a computer program developed within the scope of this study and defect types were characterized
📌 3 Maddede Bu Makale
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Amaç & Hipotez: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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Temel Bulgular & Veri: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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Sonuç & Katkı:Obtained fabric images were converted into histograms by a computer program developed within the scope of this study and defect types were characterized
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler: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
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Soyaslan, D. D., Karataş, İ. (2018). YAPAY GÖRME TABANLI KUMAŞ HATA TESPİT SİSTEMİ. Textile and Apparel, Volume: 28 Issue: 3. https://doi.org/10.32710/tekstilvekonfeksiyon.466847