Visible defects detection based on UAV‐based inspection in

In this study, an automatic UAV-based inspection system is presented and implemented for asset assessment and defect detection for large-scale PV systems.

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First, an experimental testbed has been set up at the Energy Lab at Rutgers University – New Brunswick, wherein a UAV is flown over an operational PV system to collect real-time, high

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Vision-Based Object Detection for UAV Solar Panel Inspection

A custom dataset, annotated in the COCO format and specifically designed for solar panel defect and contamination detection, was developed alongside a user interface to train and evaluate the models.

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Towards a Holistic Approach for UAV-Based Large-Scale Photovoltaic

This paper provides an in-depth literature review on image processing techniques, focusing on deep learning approaches for anomaly detection and classification in photovoltaics.

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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

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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.

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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 and speed is

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Identification and localization of Photovoltaic Defect from UAV

This study presents an efficient framework for locating and classifying faulty Photovoltaic (PV) panels from Unmanned Aerial Vehicle (UAV) thermal infrared images.

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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

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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

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