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.

翻译：由于对使用清洁能源的兴趣日益浓厚,建造了越来越多的光伏发电系统,因此,监测这些系统的适当运行已成为一个高度相关的问题。 本文提议对光伏发电模块进行自动检测和分析。为了进行分析,首先根据数字图像处理算法进行模块识别步骤。这一算法包括图像增强(调频增强、减少噪音等),然后对光伏发电模块进行分解。随后,根据分层模块的温度值进行了统计分析。此外,还设计了一个图形用户界面,作为提供光伏发电模块相关信息的潜在工具。