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Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks
Zhang ZT(张正涛); Z Zhang
Source PublicationIEEE Transactions on Components, Packaging and Manufacturing Technology
2018
Volume8Issue:4Pages:689-698
AbstractAbstract—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.
KeywordConvolutional Neural Network (Cnn) Defect
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21665
Collection精密感知与控制研究中心_人工智能与机器学习
Corresponding AuthorZ Zhang
Recommended Citation
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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