  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.
