Size and defect detection of valve based on computer vision

Xiaobo Yan, Le Feng, Mian Tan, Yuan Yang, Yu Zhang, L. Wang
{"title":"Size and defect detection of valve based on computer vision","authors":"Xiaobo Yan, Le Feng, Mian Tan, Yuan Yang, Yu Zhang, L. Wang","doi":"10.1117/12.2674674","DOIUrl":null,"url":null,"abstract":"Engine valve is the core component of the engine, and its quality determines the performance of the engine. In industrial production quality inspection, it is necessary to detect the size of the valve and whether there are defects on the surface. Usually, the quality of the valve is determined by comparing the image of the valve surface with the standard image. However, the existing surface defect detection technology cannot detect the curved surface device. In order to solve this problem, this paper designs a valve size and defect detection method based on computer vision. The experimental results show that the method can quickly and accurately detect the rod diameter, groove radius and surface defects of the valve. The method is practical, robust and real-time.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"62 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2674674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Engine valve is the core component of the engine, and its quality determines the performance of the engine. In industrial production quality inspection, it is necessary to detect the size of the valve and whether there are defects on the surface. Usually, the quality of the valve is determined by comparing the image of the valve surface with the standard image. However, the existing surface defect detection technology cannot detect the curved surface device. In order to solve this problem, this paper designs a valve size and defect detection method based on computer vision. The experimental results show that the method can quickly and accurately detect the rod diameter, groove radius and surface defects of the valve. The method is practical, robust and real-time.
基于计算机视觉的阀门尺寸与缺陷检测
发动机气门是发动机的核心部件,其质量决定了发动机的性能。在工业生产质量检验中,需要对阀门的尺寸、表面是否有缺陷进行检测。通常,阀门的质量是通过将阀门表面图像与标准图像进行比较来确定的。然而,现有的表面缺陷检测技术无法检测出曲面器件。为了解决这一问题,本文设计了一种基于计算机视觉的阀门通径和缺陷检测方法。实验结果表明,该方法能够快速、准确地检测出阀杆直径、槽半径和表面缺陷。该方法具有实用性、鲁棒性和实时性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信