UAV identification of photovoltaic panel models

Can unmanned aerial vehicles support plant inspection and PV fault detection?

Unmanned aerial vehicles UAV with integrated thermal and RGB cameras have been used to support plant inspection and PV fault detection [ 74, 75, 112, 113 ]. Many studies in the literature involve the application of different UAV and imaging sensors.

Can a UAV be used for PV inspection?

Generally, UAVs used for PV inspection are equipped with a thermal camera (which may or may not complement a standard RGB camera or other sensors) to identify defects that can produce heat anomalies on the solar panels.

Can uav photogrammetry be used for Autonomous inspection of PV plants?

The autonomous inspection of PV plants through UAV photogrammetry has been explored in the literature , , , . The UAV is given a set of waypoints, usually arranged in such a way to cover a delimited area to ensure the required horizontal and vertical overlapping of images.

Can UAV-based approaches support PV plant diagnostics?

Focus was shed on UAV-based approaches, that can support PV plant diagnostics using imaging techniques and data analytics. In this context, the essential equipment needed and the sensor requirements (parameters and resolution) for the diagnosis of failures in monitored PV systems using UAV-based approaches were outlined.

Can a model based approach be used to detect PV panels?

A model-based approach for the detection of panels is proposed in : this work relies on the structural regularity of the PV arrays and introduces a novel technique for local hot spot detection from thermal images, based on a fast and effective algorithm for finding local maxima in the PV panel regions.

How to detect photovoltaic cells in aerial images?

Recognition of photovoltaic cells in aerial images with Convolutional Neural Networks (CNNs). Object detection with YOLOv5 models and image segmentation with Unet++, FPN, DLV3+ and PSPNet.