Printed Circuit Boards Defect Detection Method Based on Improved Fully Convolutional Networks

Printed Circuit Boards Defect Detection Method Based on Improved Fully Convolutional Networks

Since printed circuit board (PCB) is the key to ensure the reliability of electronic equipment. Therefore, defect detection for PCB is a basic and necessary work. This paper proposes a PCB defect detection method based on an improved fully convolutional neural networks to detect four types of defect...

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Bibliographic Details
Main Authors: Jianfeng Zheng, Xiaopeng Sun, Haixiang Zhou, Chenyang Tian, Hao Qiang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fully convolutional neural networks
PCB defect detection
continuous atrous convolution
skip structure
Online Access:https://ieeexplore.ieee.org/document/9918069/

Internet

https://ieeexplore.ieee.org/document/9918069/

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