Framework for autonomous inspection of PV plants using IoT
Therefore, this work has made a significant contribution in cooperation between UAVs and PV panels, developing an autonomous inspection framework that utilizes algorithm-based detection
A Lightweight Model for Infrared Photovoltaic Panel Defect Detection
In this study, a lightweight real-time detection model, TA-YOLOv11, is proposed for UAV-based IR PV panel defect identification.
Photovoltaic (PV) Solar Panel Identification and Fault Detection
Because faulty PV modules are higher in temperature relative to the neighboring modules, unmanned aerial vehicles (UAVs) can play an important in this field because it can survey large
Solar UAV for the Inspection and Monitoring of Photovoltaic (PV
This paper aims to design and fabricate a prototype of a solar-powered, fixed-wing, Unmanned Aerial Vehicle (UAV) with energy harvesting capabilities that can inspect and monitor
Towards a Holistic Approach for UAV-Based Large
This paper provides an in-depth literature review on image processing techniques, focusing on deep learning approaches for anomaly
Thermal PV Panel Detection and Fault Detection Dataset for UAV
This dataset focuses on automated photovoltaic (PV) panel detection and fault detection using thermal imagery captured by UAV and includes annotated thermal images of PV panels.
Vision-Based Object Detection for UAV Solar Panel Inspection Using
This research presented a comprehensive benchmark of five state-of-the-art deep learning-based object detection models for real-time solar panel defect detection, using both an existing imbalanced
Defect Detection of Solar Panels Based on UAV Perspective
Therefore, this study proposes a scheme for detecting defects in solar panels by integrating drone technology, deep learning algorithms, and multi-source data processing.
UAV Inspection for Solar Panels
This repository contains the detection for the visible, thermal, and electroluminance detection used in our UAV solar panel detection system based on the YoloV11.
Lightweight Hot-Spot Fault Detection Model of Photovoltaic Panels in
The existing hot-spot fault detection methods of photovoltaic panels cannot adequately complete the real-time detection task; hence, a detection model considering both detection accuracy
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