Intelligent system for real-time detection and classification of solar panel defects

The subject matter of the study in the article involves the process of detecting and classifying defects in solar panels in real-time using unmanned aerial vehicles (UAV) and artificial intelligence technologies. The goal of this study is to develop an intelligent system that combines an active moni...

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Bibliographic Details

Published in:	Радіоелектронні і комп'ютерні системи
Main Authors:	Lesia Dubchak, Yevgeniy Bodyanskiy, Oleg Savenko, Volodymyr Kochan, Anatoliy Sachenko
Format:	Article
Language:	English
Published:	National Aerospace University «Kharkiv Aviation Institute» 2025-09-01
Subjects:	solar panels defects laser scanning unmanned aerial vehicles neural networks intelligent system fuzzy bsb
Online Access:	https://nti.khai.edu/ojs/index.php/reks/article/view/3149