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Dergiler / Journal of Artificial Intelligence and Data Science / 2021 / Cilt: 1 - Sayı: 1

Fabric Defect Classification Using Combination of Deep Learning and Machine Learning

Fatma Günseli YAŞAR ÇIKLAÇANDIR
Semih UTKU
Hakan ÖZDEMİR
Sayfa
22–27
Yayın Tarihi
2021-08-30
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The success of the provided system has been compared with other deep learning algorithms in terms of time and accuracy.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control.
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Temel Bulgular & Veri:They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation.
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Sonuç & Katkı:The success of the provided system has been compared with other deep learning algorithms in terms of time and accuracy.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Convolutional neural network · fabric defect classification · machine learning

Abstract

Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control. They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation. In this study, it is aimed to develop an intelligent system that automatically detects and classifies defects in fabrics. Thanks to the developed system, the cause of the malfunction is eliminated, and the recurrence of the malfunction is prevented. Using deep learning methods in fabric defect classification studies has a disadvantage compared to other methods. Multiple layers in deep learning cause a time-consuming process. Therefore, a combination of Deep Learning and Support Vector Machines (SVM) has been used in this study. The success of the provided system has been compared with other deep learning algorithms in terms of time and accuracy.

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Bu Makaleye Atıf Yap

ÇIKLAÇANDIR, F. G. Y., UTKU, S., ÖZDEMİR, H. (2021). Fabric Defect Classification Using Combination of Deep Learning and Machine Learning. Journal of Artificial Intelligence and Data Science, Cilt: 1 - Sayı: 1, 22–27. https://ajindex.com/articles/853782

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Kaynakça (13)

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