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  Citation Number 1
 Views 22
 Downloands 1
A Novel Industrial Application of CNN Approach: Real Time Fabric Inspection and Defect Classification on Circular Knitting Machine
2022
Journal:  
TEKSTİL VE KONFEKSİYON
Author:  
Abstract:

Fabric Automatic Visual Inspection (FAVI) system provides reliable performance on fabric defects inspection. This study presents a machine vision system developed to adapt in circular knitting machines where fabric defects can be automatically controlled and detected defects can be classified. The knitted fabric surface are detected during real-time manufacturing. For the classification process, three different transfer learning architectures (ResNet-50, AlexNet, GoogLeNet) have been applied. The five common knitted fabric defects were recognized with the artificial intelligence-based software and classified with an average success rate of 98% using ResNet-50 architecture. The success rates of the trained networks were compared.

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2022
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2022
Author:  
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TEKSTİL VE KONFEKSİYON

Journal Type :   Uluslararası

Metrics
Article : 749
Cite : 1.003
2023 Impact : 0.205
TEKSTİL VE KONFEKSİYON