An Intelligent Defect Detection Algorithm for PCB based on Deep Learning-Reference-Cited by-同舟云学术

An Intelligent Defect Detection Algorithm for PCB based on Deep Learning

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Advances in Image Processing
language:
Short-container-title:

Author:

Zhu Xiangyuan¹^ORCID,Xiao Xiuchun²^ORCID,Lan Zhiming¹^ORCID,Hong Qiuhong¹^ORCID,Hou Miao¹^ORCID

Affiliation:

1. School of Computer Science and Software, Zhaoqing University, China

2. College of Electronics and Information Engineering, Guangdong Ocean University, China

Funder

Special Program of Key Fields (New Generation Information Technology) for Ordinary Colleges and Universities in Guangdong Province

New Generation Information Technology Innovation Project of the Industry-University-Research Innovation Fund for China University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3577117.3577142

Reference12 articles.

1. Yoon , H. , JoonJae , L. : Pcb component classification algorithm based on yolo network for pcb inspection. Journal of Korea Multimedia Society 24 ( 8 ), 988 – 999 ( 2021 ). Yoon, H., JoonJae, L.: Pcb component classification algorithm based on yolo network for pcb inspection. Journal of Korea Multimedia Society 24(8), 988–999 (2021).

2. Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once

3. Capacitor Detection in PCB Using YOLO Algorithm

4. Machine vision based online detection of PCB defect

5. Real-time Detection of Steel Strip Surface Defects Based on Improved YOLO Detection Network

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