Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks
	Zhang ZT(张正涛); Z Zhang
发表期刊	IEEE Transactions on Components, Packaging and Manufacturing Technology
	2018
卷号	8 期号:4 页码:689-698
摘要	Abstract—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
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21665
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	Z Zhang
推荐引用方式 GB/T 7714	Zhang ZT,Z Zhang. 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	Zhang ZT,&Z Zhang.(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	Zhang ZT,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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