A Precise Convolutional Neural Network-based Classification and Pose Prediction Method for PCB Component Quality Control
Author:
Affiliation:
1. School of Mechanical Science and Engineering Huazhong University of Science and Technology,Wuhan,China
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9847306/9847307/09847518.pdf?arnumber=9847518
Reference18 articles.
1. Defects and Components Recognition in Printed Circuit Boards Using Convolutional Neural Network
2. TDD‐net: a tiny defect detection network for printed circuit boards
3. Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder
4. A VGG-16 Based Faster RCNN Model for PCB Error Inspection in Industrial AOI Applications
5. Defect Classification of Printed Circuit Boards based on Transfer Learning
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