Solar Cell Surface Defect Detection Based on Improved YOLO v5

Solar Cell Surface Defect Detection Based on Improved YOLO v5

A solar cell defect detection method with an improved YOLO v5 algorithm is proposed for the characteristics of the complex solar cell image background, variable defect morphology, and large-scale differences. First, the deformable convolution is incorporated into the CSP module to achieve an adaptiv...

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Bibliographic Details
Main Authors: Meng Zhang, Liju Yin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
YOLO v5
solar cell
defect detection
EL image
Online Access:https://ieeexplore.ieee.org/document/9847242/

Internet

https://ieeexplore.ieee.org/document/9847242/

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