ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based on YOLOv8

ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based on YOLOv8

The photovoltaic technology industry is a key development field in response to global renewable energy demands. The efficiency of fault detection in solar cells, a core component, is vital. Traditional manual fault detection is inefficient and costly, and existing deep learning models lack accuracy...

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Bibliographic Details
Main Authors: Lingyun Zhang, Xu Wu, Zihan Liu, Panlin Yu, Mingfen Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Object detection
solar cell fault detection
deep learning
YOLOv8
EMA
CloAttention
Online Access:https://ieeexplore.ieee.org/document/10689409/
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https://ieeexplore.ieee.org/document/10689409/

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