Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks
Tao, Xian1; Wang, Zihao2; Zhang, Zhengtao1; Zhang, Dapeng1; Xu, De1; Gong, Xinyi1; Zhang, Lei1
2018-04-01
发表期刊IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
卷号8期号:4页码:689-698
文章类型Article
摘要As a critical electrical connector component in the modern industrial environment, spring-wire sockets and their manufacture quality are closely relevant to equipment safety. These types of defects in a component are difficult to properly distinguish due to the defect similarity and diversity. In such cases, defect types can only be determined using cumbersome human visual inspection. To satisfy the requirements of quality control, a machine vision apparatus for component inspection is presented in this paper. With a brief description of the apparatus system design, our emphasis is put on the defect recognition algorithm. A multitask convolutional neural network (CNN) is proposed for detecting those ambiguous defects. Compared with the image processing method in machine vision, the defect inspection problem is converted into object detection and classification problems. Instead of breaking it down into two separate tasks, we jointly handle both aspects in a single CNN. In addition, data augmentation methods are discussed to analyze their effects on defects recognition. Successful inspection results using the presented model are obtained using challenging real-world defect image data gathered from a spring-wire socket module inspection line in an industrial plant.; As a critical electrical connector component in the modern industrial environment, spring-wire sockets and their manufacture quality are closely relevant to equipment safety. These types of defects in a component are difficult to properly distinguish due to the defect similarity and diversity. In such cases, defect types can only be determined using cumbersome human visual inspection. To satisfy the requirements of quality control, a machine vision apparatus for component inspection is presented in this paper. With a brief description of the apparatus system design, our emphasis is put on the defect recognition algorithm. A multitask convolutional neural network (CNN) is proposed for detecting those ambiguous defects. Compared with the image processing method in machine vision, the defect inspection problem is converted into object detection and classification problems. Instead of breaking it down into two separate tasks, we jointly handle both aspects in a single CNN. In addition, data augmentation methods are discussed to analyze their effects on defects recognition. Successful inspection results using the presented model are obtained using challenging real-world defect image data gathered from a spring-wire socket module inspection line in an industrial plant.
关键词Convolutional Neural Network (Cnn) Defect Recognition Machine Vision Multitask Learning Spring-wire Sockets
WOS标题词Science & Technology ; Technology
DOI10.1109/TCPMT.2018.2794540
关键词[WOS]VISION INSPECTION SYSTEM ; FEATURE-SELECTION ; SEGMENT DETECTOR ; EDGE-DETECTION ; CLASSIFICATION ; MACHINE ; SCALE ; TUBE
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61703399 ; 61673383 ; 61733004 ; 61421004 ; 61403382)
WOS研究方向Engineering ; Materials Science
WOS类目Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Materials Science, Multidisciplinary
WOS记录号WOS:000429960300022
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21697
专题精密感知与控制研究中心_精密感知与控制
作者单位1.Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
2.Civil Aviat Univ China, Sinoeuropean Inst Aviat Engn, Tianjin 300300, Peoples R China
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GB/T 7714
Tao, Xian,Wang, Zihao,Zhang, Zhengtao,et al. Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks[J]. IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY,2018,8(4):689-698.
APA Tao, Xian.,Wang, Zihao.,Zhang, Zhengtao.,Zhang, Dapeng.,Xu, De.,...&Zhang, Lei.(2018).Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks.IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY,8(4),689-698.
MLA Tao, Xian,et al."Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks".IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY 8.4(2018):689-698.
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