AFSP (Automatic Fault Detection in Solar Panels)

Given the importance of renewable energy for a sustainable future and with the increasing adoption of solar farms to meet industrial energy demands, real-time monitoring and inspection of solar panels has become essential. To address this need, we have developed a web-based software capable of performing comprehensive RGB (visual digital images) and thermal analysis on drone-captured data.

Key Features:

✅ Automated Defect Detection – Identifies visual defects such as cracks, corrosion, and contamination, as well as thermal anomalies like hotspots detected by infrared sensors.
✅ Intelligent Data Processing – The system analyzes and classifies defects with high accuracy.
✅ Comprehensive Reports – Generates detailed reports containing:

• Type of defect

• Geographical location of the faulty panel

• Unique cell identifier

This advanced AI-driven solution enhances operational efficiency, reduces maintenance costs, and extends the lifespan of solar panels, ensuring maximum energy output.