用于电路板插入焊点缺陷筛选的图像识别

International Conference on Artificial Intelligence, Virtual Reality, and Visualization Pub Date : 2023-03-01 DOI:10.1117/12.2667302

Yufeng Luo, Li Shen

{"title":"用于电路板插入焊点缺陷筛选的图像识别","authors":"Yufeng Luo, Li Shen","doi":"10.1117/12.2667302","DOIUrl":null,"url":null,"abstract":"For small and medium-sized electronic enterprises to produce plug-in circuit boards, due to the size of the enterprise, order requirements and other reasons, small and medium-sized electronic enterprises usually use manual visual inspection of plug-in circuit boards for inspection. Based on the Vision Developments Module of LabView software, we can detect the solder joint defects of plug-in circuit boards. According to the actual production of different types of circuit boards, the solder joints are classified, and then the representative qualified solder joints are extracted to make standard solder joint templates, which are matched with the images of the plug-in circuit boards to be tested through multiple template geometry matching to achieve automatic detection of solder joints with 93% detection accuracy.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image recognition for defect screening of circuit board plug-in solder joints\",\"authors\":\"Yufeng Luo, Li Shen\",\"doi\":\"10.1117/12.2667302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For small and medium-sized electronic enterprises to produce plug-in circuit boards, due to the size of the enterprise, order requirements and other reasons, small and medium-sized electronic enterprises usually use manual visual inspection of plug-in circuit boards for inspection. Based on the Vision Developments Module of LabView software, we can detect the solder joint defects of plug-in circuit boards. According to the actual production of different types of circuit boards, the solder joints are classified, and then the representative qualified solder joints are extracted to make standard solder joint templates, which are matched with the images of the plug-in circuit boards to be tested through multiple template geometry matching to achieve automatic detection of solder joints with 93% detection accuracy.\",\"PeriodicalId\":137914,\"journal\":{\"name\":\"International Conference on Artificial Intelligence, Virtual Reality, and Visualization\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Artificial Intelligence, Virtual Reality, and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2667302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2667302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

对于中小电子企业生产外挂线路板，由于企业规模、订单要求等原因，中小电子企业通常采用人工目测外挂线路板进行检测。基于LabView软件的视觉开发模块，实现了对插入式电路板焊点缺陷的检测。根据实际生产的不同类型电路板，对焊点进行分类，然后提取有代表性的合格焊点，制作标准焊点模板，通过多个模板几何匹配与待测插件电路板图像进行匹配，实现焊点自动检测，检测精度为93%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Image recognition for defect screening of circuit board plug-in solder joints

For small and medium-sized electronic enterprises to produce plug-in circuit boards, due to the size of the enterprise, order requirements and other reasons, small and medium-sized electronic enterprises usually use manual visual inspection of plug-in circuit boards for inspection. Based on the Vision Developments Module of LabView software, we can detect the solder joint defects of plug-in circuit boards. According to the actual production of different types of circuit boards, the solder joints are classified, and then the representative qualified solder joints are extracted to make standard solder joint templates, which are matched with the images of the plug-in circuit boards to be tested through multiple template geometry matching to achieve automatic detection of solder joints with 93% detection accuracy.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Conference on Artificial Intelligence, Virtual Reality, and Visualization

自引率

0.00%

发文量