Automatic solar panel monitoring from UFV

Image processing engine which can detect anomalies and possible breakages on the solar panels. The system analyzes both RGB and infrared images coming from UFV (e.g. drones).

*UFV - Unmanned Flying Vehicle


Timely anomaly detection on solar panels decreases expenses for their repair. Manual real-time monitoring of different cells requires a lot of human resources.


We used opencv for detection of solar panel cells. Anomaly detection was developed via object detection techniques.