Surface Defect Detection of Solar Cells Based on Multiscale Region Proposal Fusion Network

Surface Defect Detection of Solar Cells Based on Multiscale Region Proposal Fusion Network

Manufacturing process and human operational errors may cause small-sized defects, such as cracks, over-welding, and black edges, on solar cell surfaces. These surface defects are subtle and, therefore, difficult to observe and detect. Accurate detection and replacement of defective battery modules i...

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Bibliographic Details
Main Authors: Xiong Zhang, Ting Hou, Yawen Hao, Hong Shangguan, Anhong Wang, Sichun Peng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
defects detection
faster R-CNN
multiscale fusion
RPN
solar cell
Online Access:https://ieeexplore.ieee.org/document/9408600/

Internet

https://ieeexplore.ieee.org/document/9408600/

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