Classification and Positioning of Circuit Board Components Based on Improved YOLOv5

Author:

Chen Jun,Bao Erdemt,Pan Jingyu

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Chenyu, Zhang, Zhong, Yongguang, Wanxia, & Tobias et al. An overview of e-waste management in China.

2. Defect detection of flexible circuit board based on convolutional neural network;Zang,2021

3. Research on reusing technology for disassembling waste printed circuit boards;Zhou;Procedia Environmental Sciences,2016

4. Recovery of valuable BGA components from used electronic mobile devices and their application in new electronic products;Koscielski,2019

5. Intelligent disassembly of components from printed circuit boards to enable re-use and more efficient recovery of critical metals;Kopacek,2016

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