A Novel Industrial Application of CNN Approach: Real Time Fabric Inspection and Defect Classification on Circular Knitting Machine

Author:

ÇELİK Halil İbrahim1,DÜLGER Lale Canan2,ÖZTAŞ Burak3,KERTMEN Mehmet4,GÜLTEKİN Elif5

Affiliation:

1. Gaziantep University, Textile Engineering Department, Gaziantep, Turkey

2. IZMIR DEMOCRACY UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF MECHANICAL ENGINEERING, MECHANICAL ENGINEERING PR.

3. KAHRAMANMARAS SUTCU IMAM UNIVERSITY, FACULTY OF ENGINEERING-ARCHITECTURE, DEPARTMENT OF TEXTILE ENGINEERING, TEXTILE ENGINEERING PR.

4. İskur Tekstil Enerji Tic. ve San. A.Ş.

5. GAZIANTEP UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF TEXTILE ENGINEERING (ENGLISH), TEXTILE ENGINEERING PR. (ENGLISH)

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.

Publisher

Tekstil Ve Konfeksiyon

Subject

Industrial and Manufacturing Engineering,General Materials Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3