A Light Weight Version of PCB Defect Detection system using YOLO V4 Tiny-Reference-Cited by-同舟云学术

A Light Weight Version of PCB Defect Detection system using YOLO V4 Tiny

Published:2022-03-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Mobile and Embedded Technology Conference (MECON)
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Author:

Mamidi Jaya Sai Sowmya Vaishnavi¹,Sameer Shaik¹,Bayana Jayanag¹

Affiliation:

1. VR Siddhartha Engineering College,Department of Computer Science and Engineering,Vijayawada,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751778/9751732/09752361.pdf?arnumber=9752361

Reference16 articles.

1. PCB-Fire: Automated Classification and Fault Detection in PCB;tejas;2020 Third International Conference on Multimedia Processing Communication & Information Technology (MPCIT),2020

2. Defect detection in PCBs using convolutional neural network

3. Real-time object detection method based on improved YOLOv4-tiny;zicong;arXiv preprint arXiv 2011 00177,2020

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