The growing interest in the use of clean energy has led to the construction of increasingly large photovoltaic systems. Consequently, monitoring the proper functioning of these systems has become a highly relevant issue.In this paper, automatic detection, and analysis of photovoltaic modules are proposed. To perform the analysis, a module identification step, based on a digital image processing algorithm, is first carried out. This algorithm consists of image enhancement (contrast enhancement, noise reduction, etc.), followed by segmentation of the photovoltaic module. Subsequently, a statistical analysis based on the temperature values of the segmented module is performed.Besides, a graphical user interface has been designed as a potential tool that provides relevant information of the photovoltaic modules.
@article{arxiv.2010.07356,
title = {Photovoltaic module segmentation and thermal analysis tool from thermal images},
author = {L. E. Montañez and L. M. Valentín-Coronado and D. Moctezuma and G. Flores},
journal= {arXiv preprint arXiv:2010.07356},
year = {2020}
}