A Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power Plant

A solar panel generates electricity power using the sun's rays. It isusually located on a rooftop or open field without shadow. This solar panelis hard to be tested by nonprofessionals. Therefore, we propose a detectingsystem for a faulty solar panel using a drone with an RGB camera and athermal camera. The drone is applied for collecting aerial videos. The RGBcamera is operated to find the location of solar panels with solar panelfeatures, such as the rectangle shape and the surface color of the solar panel.The thermal camera is deployed to search for error spots in solar panels.Since error spots are not able to convert the sun's rays into electricity, theyreflect the sun's rays. Therefore, the temperature of the error spot is higherthan normal solar panels. The proposed system is tested in two real workingsolar power plants. We confirmed that the proposed system can be appliedwithout professional knowledge.

Authors

Publication Details

Journal
Journal of Computer Science
Published
2025-05-01
DOI
https://doi.org/10.3844/jcssp.2025.1217.1229
Primary Topic
Currency Recognition and Detection
Type
article
Field-Weighted Citation Impact
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article

A Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power Plant

Dongmahn Seo, Soobin Jeon
Journal of Computer Science
Currency Recognition and Detection
article

A Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power Plant

Dongmahn Seo, Soobin Jeon
article en

Abstract

A solar panel generates electricity power using the sun's rays. It isusually located on a rooftop or open field without shadow. This solar panelis hard to be tested by nonprofessionals. Therefore, we propose a detectingsystem for a faulty solar panel using a drone with an RGB camera and athermal camera. The drone is applied for collecting aerial videos. The RGBcamera is operated to find the location of solar panels with solar panelfeatures, such as the rectangle shape and the surface color of the solar panel.The thermal camera is deployed to search for error spots in solar panels.Since error spots are not able to convert the sun's rays into electricity, theyreflect the sun's rays. Therefore, the temperature of the error spot is higherthan normal solar panels. The proposed system is tested in two real workingsolar power plants. We confirmed that the proposed system can be appliedwithout professional knowledge.

Journal of Computer ScienceVol. 21(5)
Affordable and clean energy
Openalex Percentile: Top 90%
Currency Recognition and Detection
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A Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power Plant — Dongmahn Seo, Soobin Jeon · Journal of Computer Science (2025) | TGRS Research Map | TGRS