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Industry-Oriented Detection Method of PCBA Defects Using Semantic Segmentation Models

Yang Li Xiao Wang Zhifan He Ze Wang Ke Cheng Sanchuan Ding Yijing Fan Xiaotao Li Yawen Niu Shanpeng Xiao Zhenqi Hao Bin Gao Huaqiang Wu

IEEE/CAA Journal of Automatica Sinica2024，Vol.11Issue(6)：P.1438-1446,9.

IEEE/CAA Journal of Automatica Sinica2024，Vol.11Issue(6)：P.1438-1446,9.DOI:10.1109/JAS.2024.124422

Industry-Oriented Detection Method of PCBA Defects Using Semantic Segmentation Models

Yang Li ¹Xiao Wang ¹Zhifan He ²Ze Wang ³Ke Cheng ¹Sanchuan Ding ¹Yijing Fan ¹Xiaotao Li ¹Yawen Niu ¹Shanpeng Xiao ¹Zhenqi Hao ¹Bin Gao ⁴Huaqiang Wu⁴

作者信息

1. Department of Internet of Things Technology and Application,China Mobile Research Institute,Beijing 100053,China
2. Beijing Advanced Innovation Center for Integrated Circuits,the School of Integrated Circuit,Tsinghua University,Beijing 100084,China SigmaStar Technology Limited,Xiamen 361199,China
3. Beijing Advanced Innovation Center for Integrated Circuits,the School of Integrated Circuit,Tsinghua University,Beijing 100084,China
4. Department of Internet of Things Technology and Application,China Mobile Research Institute,Beijing 100053,China IEEE
折叠

摘要

关键词

Automated optical inspection(AOI)/deep learning/defect detection/printed circuit board assembly(PCBA)/semantic segmentation.

分类

信息技术与安全科学

引用本文复制引用

Yang Li,Xiao Wang,Zhifan He,Ze Wang,Ke Cheng,Sanchuan Ding,Yijing Fan,Xiaotao Li,Yawen Niu,Shanpeng Xiao,Zhenqi Hao,Bin Gao,Huaqiang Wu..Industry-Oriented Detection Method of PCBA Defects Using Semantic Segmentation Models[J].IEEE/CAA Journal of Automatica Sinica,2024,11(6):P.1438-1446,9.

基金项目

supported in part by the IoT Intelligent Microsystem Center of Tsinghua University-China Mobile Joint Research Institute. （）

IEEE/CAA Journal of Automatica Sinica

OACSTPCDEI

ISSN：2329-9266

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