Quantification of Damages and Classification of Flaws in Mono-Crystalline Photovoltaic Cells Through the Application of Vision Transformers

Quantification of Damages and Classification of Flaws in Mono-Crystalline Photovoltaic Cells Through the Application of Vision Transformers

This work introduces new effective methodologies for the detection, analysis, and classification of diverse defects that may occur throughout the production process of photovoltaic panels. In this context, this work proposes a novel approach that combines Image Processing and Vision Transformers (Vi...

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Bibliographic Details
Main Authors: Joao Pedro Costa Barnabe, Lenin Patricio Jimenez, Gustavo Fraidenraich, Eduardo Rodrigues De Lima, Harrison Franca Dos Santos
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Image processing
photovoltaic cells
visual transformers
machine learning
Online Access:https://ieeexplore.ieee.org/document/10273379/

Internet

https://ieeexplore.ieee.org/document/10273379/

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