PCB Defect Detection Using Deep Learning Methods
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9437608/9437628/09437846.pdf?arnumber=9437846
Cited by 15 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
1. An Enhanced Detection Method of PCB Defect Based on D-DenseNet (PCBDD-DDNet);Electronics;2023-11-22
2. Real-Time Defect Detection Model in Industrial Environment Based on Lightweight Deep Learning Network;Electronics;2023-10-24
3. Review of vision-based defect detection research and its perspectives for printed circuit board;Journal of Manufacturing Systems;2023-10
4. Fault Detection and Quality Inspection of Printed Circuit Board Using Yolo-v7 Algorithm of Deep Learning;2023 7th International Multi-Topic ICT Conference (IMTIC);2023-05-10
5. Component Identification and Defect Detection of Printed Circuit Board using Artificial Intelligence;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04
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