AI-based Restoration Reflection Region Method for 3D Automatic Optical Inspection

Chan-Hoe Kim, Min-Ho Ha, Sung-Chul Yun, Tae-Hyoung Park
{"title":"AI-based Restoration Reflection Region Method for 3D Automatic Optical Inspection","authors":"Chan-Hoe Kim, Min-Ho Ha, Sung-Chul Yun, Tae-Hyoung Park","doi":"10.5302/j.icros.2023.23.0108","DOIUrl":null,"url":null,"abstract":"This study focuses on a three-dimensional measurement system of components on a printed-circuit-board (PCB). Most existing methods for automatic optical inspection face the problem of light reflecting on components. We herein propose a new method to restore the reflection area of components with the aim of measuring their shape accurately. This method use a pattern projection system along with an algorithm for restoring the components’ reflection area. For efficient restoration of the restore reflection area, the reflection regions are first identified through pixel resolution, wherein, saturated pixels represent the reflection regions. Then, the PCB components are tilted slightly using solder. These characteristics are used to, obtain the rotation matrix of a component, and its reflection area is restored. The performance of the proposed method is evaluated through a series of experiments, whose. results demonstrate its effectiveness.","PeriodicalId":38644,"journal":{"name":"Journal of Institute of Control, Robotics and Systems","volume":"35 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Institute of Control, Robotics and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5302/j.icros.2023.23.0108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

This study focuses on a three-dimensional measurement system of components on a printed-circuit-board (PCB). Most existing methods for automatic optical inspection face the problem of light reflecting on components. We herein propose a new method to restore the reflection area of components with the aim of measuring their shape accurately. This method use a pattern projection system along with an algorithm for restoring the components’ reflection area. For efficient restoration of the restore reflection area, the reflection regions are first identified through pixel resolution, wherein, saturated pixels represent the reflection regions. Then, the PCB components are tilted slightly using solder. These characteristics are used to, obtain the rotation matrix of a component, and its reflection area is restored. The performance of the proposed method is evaluated through a series of experiments, whose. results demonstrate its effectiveness.
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
基于人工智能的三维自动光学检测恢复反射区域方法
本文主要研究印制电路板(PCB)上元件的三维测量系统。大多数现有的自动光学检测方法都面临着光在部件上反射的问题。在此,我们提出了一种新的方法来恢复组件的反射面积,以准确地测量它们的形状。该方法使用图案投影系统以及用于恢复组件反射区域的算法。为了有效地恢复恢复反射区域,首先通过像素分辨率识别反射区域,其中,饱和像素表示反射区域。然后,使用焊料将PCB元件稍微倾斜。利用这些特性,得到一个分量的旋转矩阵,并恢复其反射面积。通过一系列实验对该方法的性能进行了评价。结果表明了该方法的有效性。
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
CiteScore
1.50
自引率
0.00%
发文量
128
期刊最新文献
Proposal of MRFScore and a Regression Model for Identification of Music Relationship Indicator Mixed Reality-based Structure Placement Verification System Using AR Marker Optimal Parameter Estimation for Topological Descriptor Based Sonar Image Matching in Autonomous Underwater Robots 3D Space Object and Road Detection for Autonomous Vehicles Using Monocular Camera Images and Deep Learning Algorithms Optimization Methods for Non-linear Least Squares
×
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