Development and Implementation of Novel Six-Sided Automated Optical Inspection for Metallic Objects

Fauzy Satrio Wibowo, Y. R. Wahyudi, Hsien-I Lin
{"title":"Development and Implementation of Novel Six-Sided Automated Optical Inspection for Metallic Objects","authors":"Fauzy Satrio Wibowo, Y. R. Wahyudi, Hsien-I Lin","doi":"10.1109/ARIS50834.2020.9205786","DOIUrl":null,"url":null,"abstract":"This paper proposes an inspection system based on the Automated Optical Inspection System (AOI) to inspect six-sided metallic objects. The objective is to develop a system that can provide a good quality of images, with the objects moving on a production line. The proposed system comprises of an industrial robotic arm and a set of cameras. Also, the scanning system provides six-sided inspection, that divided into two stages, i.e., (1) a main-frame inspection (5-side) and (2) an external frame inspection (1-side). An industrial robotic arm is involved to pick-up the object from the production line. Then, the system detected the orientation, shifted the position of the picked object, and calibrated them to the reference orientation and position accordingly. To validate the quality of the images, we use pixel differences to analyze the repeatability of the object pose. According to the experimental results, the system not only provides clear, and it has good performance position repeatability of 4.95 mm.","PeriodicalId":423389,"journal":{"name":"2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARIS50834.2020.9205786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper proposes an inspection system based on the Automated Optical Inspection System (AOI) to inspect six-sided metallic objects. The objective is to develop a system that can provide a good quality of images, with the objects moving on a production line. The proposed system comprises of an industrial robotic arm and a set of cameras. Also, the scanning system provides six-sided inspection, that divided into two stages, i.e., (1) a main-frame inspection (5-side) and (2) an external frame inspection (1-side). An industrial robotic arm is involved to pick-up the object from the production line. Then, the system detected the orientation, shifted the position of the picked object, and calibrated them to the reference orientation and position accordingly. To validate the quality of the images, we use pixel differences to analyze the repeatability of the object pose. According to the experimental results, the system not only provides clear, and it has good performance position repeatability of 4.95 mm.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
新型金属物体六面自动光学检测的开发与实现
提出了一种基于自动光学检测系统(AOI)的六面金属物体检测系统。目标是开发一个系统,可以提供高质量的图像,物体在生产线上移动。该系统由一个工业机械臂和一组摄像头组成。此外,扫描系统提供六面检查,该检查分为两个阶段,即(1)主机检查(5面)和(2)外机架检查(1面)。工业机械臂用于从生产线上取下物体。然后,系统检测方向,移动被拾取物体的位置,并将其校准为参考方向和位置。为了验证图像的质量,我们使用像素差异来分析物体姿态的可重复性。根据实验结果,该系统不仅提供清晰,而且具有良好的位置重复性,可达4.95 mm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Synchronous Dual-Arm Manipulation by Adult-Sized Humanoid Robot Model Predictive Control with Laguerre Function based on Social Ski Driver Algorithm for Autonomous Vehicle Skeleton-based Hand Gesture Recognition for Assembly Line Operation Design of Continuous-Time Sigma-Delta Modulator with Noise Reduction for Robotic Light Communication and Sensing Simulation and Control of a Robotic Arm Using MATLAB, Simulink and TwinCAT
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1