Solar PV installations are rapidly increasing in size and number, with thousands of panels per site. Defects such as cracks, hotspots, soiling or loose connections reduce energy yield and lifetime. Manual or semi-automated inspections are slow, costly and inconsistent, while raw drone data alone is not actionable without automated analysis.

Solar Panel Inspections is an AI-based solution for automatically detecting, classifying and geo-locating defects in photovoltaic installations using RGB and IR imagery. The system can be deployed in the cloud, on-premises or at the edge, delivering consistent and actionable results for operators.

The system supports flexible deployment architectures, including cloud, on-premises and edge-based processing. It integrates with third-party platforms via REST APIs and provides structured outputs for downstream systems