PCB Defect Detection Method Based on Transformer-YOLO

PCB Defect Detection Method Based on Transformer-YOLO

In order to solve the problem of low accuracy and efficiency in printed circuit board(PCB) defect detection using reference methods, a Transformer-YOLO network detection model is proposed. Firstly, an improved clustering algorithm is used to generate the anchor box suitable for the PCB defect data s...

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Bibliographic Details
Main Authors: Wei Chen, Zhongtian Huang, Qian Mu, Yi Sun
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
PCB defects
clustering algorithm
convolutional neural network
Swin Transformer
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9978605/

Internet

https://ieeexplore.ieee.org/document/9978605/

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