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Using CNNs for Photovoltaic Panel Defect Detection via Infrared Thermography to Support Industry 4.0

Business Systems Research Journal
Volume 15 (2024): Issue 1 (September 2024)
By:
Open Access
|Sep 2024

Authors

Mislav Spajić

mislav@airspect.hr

Algebra University, Croatia

Mirko Talajić

mirko.talajic@algebra.hr

Algebra University, Croatia

Leo Mršić

leo.mrsic@algebra.hr

Algebra University, Croatia
DOI: https://doi.org/10.2478/bsrj-2024-0003 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
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Language: English
Page range: 45 - 66
Submitted on: Jun 28, 2024
Accepted on: Aug 17, 2024
Published on: Sep 26, 2024
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Convolutional Neural Networks,
Photovoltaic Panels,
Defect Detection,
Infrared Thermography,
Solar Energy
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance,
Business management, other,
Mathematics and statistics for economists,
Mathematics

© 2024 Mislav Spajić, Mirko Talajić, Leo Mršić, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.

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