Automated Defect Detection in Solar Cell Images Using Deep Learning Algorithms

Automated Defect Detection in Solar Cell Images Using Deep Learning Algorithms

This research study introduces a unique method that makes use of a wide range of deep learning (DL) techniques for automated flaw identification in solar cell images. The research paper investigates how well 24 distinct convolutional neural network (CNN) architectures— Residual network (R...

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Bibliographic Details
Main Authors: Montaser Abdelsattar, Ahmed Abdelmoety, Mohamed A. Ismeil, Ahmed Emad-Eldeen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computer vision
defect detection
deep learning
image classification
photovoltaics
Online Access:https://ieeexplore.ieee.org/document/10820315/
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