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

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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: Mislav Spajić, Mirko Talajić and Leo Mršić

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

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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,

Related subjects:

Business and economics,

Business management,

Management, organization, corporate governance,

Business management, other,

Mathematics and statistics for economists,

© 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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