Knowledge Commons of Institute of Automation,CAS
Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component | |
Zhang JB(张家斌)1,2; Zhang ZT(张正涛)1; Su H(苏虎)1; Zou W(邹伟)1; Gong XY(宫新一)1; Zhang F(张峰)1 | |
发表期刊 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
2019-12-20 | |
卷号 | Early Access期号:Early Access页码:0 |
摘要 | This article focuses on automatic inspection for the commonly used component called spring-wire socket. An automatic inspection system is built that adopts an endoscope to improve the imaging quality. To detect the low contrast targets in complex background, we adopt the pipeline of Faster R-CNN but with several improvements. The improved network specifies the targets in the form of quadrangular bounding box as opposed to previous methods that specify them by rectangular bounding box. With the quadrangular representation, additional shape and pose information is provided and unexpected overlaps and background disturbance could be avoided. In the network, an eight-dimensional (8-D) vector is designed to represent the quadrangular bounding box followed by the improved anchor mechanism in the region proposal network. And also, a novel overlap score calculation method is proposed. On the basis of the detection result, rules arisen from expertise are provided to determine the quality of the component in which way automatic quality inspection could be accomplished. The superiority of our detection network over existing ones is sufficiently demonstrated with the detection result of irregular targets in images captured in the industrial scenario. Meanwhile, successful inspection result proves that the system meets the industrial requirements in terms of both accuracy and speed and thus is of practical significance to industrial applications. |
关键词 | Quality Inspection Quadrangular Object Detection |
学科门类 | 工学::计算机科学与技术(可授工学、理学学位) |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000696079100009 |
七大方向——子方向分类 | 目标检测、跟踪与识别 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44318 |
专题 | 中科院工业视觉智能装备工程实验室_精密感知与控制 |
通讯作者 | Su H(苏虎) |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhang JB,Zhang ZT,Su H,et al. Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2019,Early Access(Early Access):0. |
APA | Zhang JB,Zhang ZT,Su H,Zou W,Gong XY,&Zhang F.(2019).Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component.IEEE Transactions on Systems, Man, and Cybernetics: Systems,Early Access(Early Access),0. |
MLA | Zhang JB,et al."Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component".IEEE Transactions on Systems, Man, and Cybernetics: Systems Early Access.Early Access(2019):0. |
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SMCA-18-11-1700.pdf(3914KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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