Published Paper Details:

It is crucial to monitor solar photovoltaic power plants so that they can operate and maintain themselves effectively. The need to continuously monitor solar power systems cannot be overstated. In this project, unmanned solar power panel monitoring systems were the main focus. The output performance of the photovoltaic plant will be improved by active control and routine maintenance, which also contributes to decent or superior returns on the initial investments. Manual inspections are used to monitor processes, but as technology advanced, intelligent systems, centralised control, and monitoring systems, surveillance cameras, robotics, drones, etc. superseded the need for manual inspections. A study on the technologies underlying drone automation and intelligence was conducted. As a result of this study, it was discovered that drones could be given more autonomy and that large-scale solar power plants could be monitored more easily thanks to recognition technologies (RT), artificial intelligence (AI), and machine learning (ML). The primary objective of this project is to track and show data on temperature, local weather, and the orientation of solar power plant panels on a monitoring system.