A deep learning-based method detects dust from solar PV panels through Unmanned Aerial Vehicles

As the number of solar photovoltaic (PV) panels increases, dust detection on the panels becomes particularly important. In this paper, we propose a deep learning-based method that detects dust from solar PV panels through Unmanned Aerial Vehicles. The model utilizes the improved YOLOv5 method to det...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of physics. Conference series 2023-09, Vol.2584 (1), p.12019
Hauptverfasser:	Gao, Yuan, Li, Sujian
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Dust Object recognition Panels Photovoltaic cells Physics Target detection Unmanned aerial vehicles
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!