A Contactless PCBA Defect Detection Method: Convolutional Neural Networks With Thermographic Images-Reference-Cited by-同舟云学术

A Contactless PCBA Defect Detection Method: Convolutional Neural Networks With Thermographic Images

Published:2022-03 Issue:3 Volume:12 Page:489-501
ISSN:2156-3950
Container-title:IEEE Transactions on Components, Packaging and Manufacturing Technology
language:
Short-container-title:IEEE Trans. Compon., Packag. Manufact. Technol.

Author:

Jeon Mingu¹^ORCID,Yoo Siyun²,Kim Seong-Woo³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea

2. LG Electronics, Seoul, South Korea

3. Department of Engineering Practice, Seoul National University, Seoul, South Korea

Funder

National Research Foundation of Korea through the Ministry of Science and ICT

Ministry of Culture, Sports and Tourism

Korea Creative Content Agency

Institute of Engineering Research at Seoul National University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic, Optical and Magnetic Materials

Link

Reference42 articles.

2. Siamese neural networks for one-shot image recognition;koch;Proc ICML Deep Learn Workshop,2015

5. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

5. Detecting defects in PCB manufacturing: an exploration using Yolov8 deep learning;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-07-09