In recent years, the rapid expansion of solar farms and installations has underscored the critical need for effective maintenance strategies to preserve the longevity of solar panels. The SolAir project emerges as a pivotal solution, employing advanced machine learning techniques and leveraging the precision of Infrared Boson cameras to detect hotspots and defects in solar panels with real-time accuracy. The system also incorporates an RGB camera that allows the detection of dirt and grime, enabling operators to easily identify areas requiring cleaning and maintenance. By combining these cutting-edge technologies, SolAir provides a comprehensive solution for proactive solar panel monitoring, facilitating timely interventions to address potential issues before they escalate into major failures. This innovative approach enables solar farm owners to significantly reduce inspection times, streamline maintenance operations, and enhance the safety of their installations.