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Information × Registration Number 0225U004810, (0124U004665) , R & D reports Title Intelligent system for recognizing defects in green energy facilities using UAVs popup.stage_title Розробити архітектуру розподіленої інтелектуальної системи розпізнавання дефектів об’єктів зеленої енергетики із використанням БПЛА Head Sachenko Anatolii O., д.т.н. Registration Date 19-12-2025 Organization Western Ukrainian National University popup.description1 Improvement of methods for recognizing defects of green energy facilities using artificial neural networks based on video data collection and the use of BPLA popup.description2 During the third reporting stage, core software modules for an intelligent UAV-based defect recognition system for green energy facilities were developed and verified. A fuzzy logic-based defect criticality assessment module, aligned with the IEC 61400–5 standard, was created. A dynamic trajectory adaptation subsystem was implemented to ensure UAV flight stabilization. A defect detection module based on a YOLOv8 neural network ensemble for multispectral data was developed, achieving a recognition accuracy of over 93 %. Additionally, algorithms for palette-invariant analysis and geo-spatial de-duplication were introduced for solar panel inspection, resulting in a 20 % reduction in false positives and a decrease in the volume of transmitted telemetry. Product Description popup.authors Kochan Volodymyr V. Zahorodnia Diana I. Oleg S. Savenko Zastavnyi Oleh M. Oleksandr V. Melnychenko Lesia O. Dubchak Pavlo M. Radiuk popup.nrat_date 2025-12-19 Close