Davila Sacoto, Miguel AlbertoHernández Callejo, LuísAlonso Gómez, VíctorGallardo Saavedra, SaraGonzalez Morales, Luis Gerardo2020-06-122020-06-122020978-303038888-118650929https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078421534&doi=10.1007%2f978-3-030-38889-8_4&partnerID=40&md5=def7cf7880cf0d31428bdfc0711fff35One of the most important challenges to mitigate global climate change is to move towards replacing petroleum-based energy sources. In this idea, non-conventional renewable energy sources such as photovoltaic (PV) solar and wind power are the most used worldwide. In the case of the massification of PV solar generation systems due to its low cost, it has resulted in the use of large-scale supervision techniques that allow a quick and effective determination of the health status of its main components. This study, performs an analysis of the performance of different low-cost cameras for thermography. The analysis compares the accuracy of the thermal images obtained and the error is quantified by means of an image dispersion analysis in each of them. Three-dimensional meshes and contours figures are also made to determine the temperature of a faulty cell. The study shows that the performance obtained with low-cost cameras presents errors below 10% in costs and less than 0.015 USD/pixel. © Springer Nature Switzerland AG 2020.One of the most important challenges to mitigate global climate change is to move towards replacing petroleum-based energy sources. In this idea, non-conventional renewable energy sources such as photovoltaic (PV) solar and wind power are the most used worldwide. In the case of the massification of PV solar generation systems due to its low cost, it has resulted in the use of large-scale supervision techniques that allow a quick and effective determination of the health status of its main components. This study, performs an analysis of the performance of different low-cost cameras for thermography. The analysis compares the accuracy of the thermal images obtained and the error is quantified by means of an image dispersion analysis in each of them. Three-dimensional meshes and contours figures are also made to determine the temperature of a faulty cell. The study shows that the performance obtained with low-cost cameras presents errors below 10% in costs and less than 0.015 USD/pixel. © Springer Nature Switzerland AG 2020.es-ESImage processingLow costPV panelThermal cameraThermography