It examines key components of UAV-based PV inspection, including data acquisition protocols, panel segmentation and geolocation, anomaly classification, an...
The existing hot-spot fault detection methods of photovoltaic panels cannot adequately complete the real-time detection …
It examines key components of UAV-based PV inspection, including data acquisition protocols, panel segmentation and geol…
red thermography system designed specifically for rapid fouling detection on large-scale PV panels. This system preproce…
The strategy consists of flying an unmanned aerial vehicle (UAV) equipped with a dual camera (RGB and thermal) over the …
This repository contains the detection for the visible, thermal, and electroluminance detection used in our UAV solar pa…
In this study, a lightweight real-time detection model, TA-YOLOv11, is proposed for UAV-based IR PV panel defect identif…
To this end, the goal of this work is to develop, test, and demonstrate a UAV-enabled, AI-powered framework for effectiv…
These findings provide clear guidance for selecting detection architectures in real-world photovoltaic inspection system…
Nowadays, the use of unmanned aerial vehicles (UAVs) for aerial inspections of photovoltaic (PV) plants has emerged as a…
Furthermore, RTPV-YOLO can be effectively deployed on resource-constrained UAVs to process thermal and RGB images in rea…
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