DEFECT DETECTION IN SOLAR FARMS
Orthomosaic and topological mapping of solar farms for automated defect detection using computer vision.
Computer VisionOrthomosaicDefect DetectionSolar Energy
Overview
This project involved developing orthomosaics for more than 1000+ images, and topological maps of solar farms to enable automated defect detection. Advanced computer vision and deep learning techniques were applied to identify and classify defects in solar panel installations, improving maintenance efficiency and energy production.
My Role
Post-Doc & Research Lead
Technologies & Skills
Computer VisionOrthomosaic GenerationDefect DetectionTopological MappingImage Processing
Key Achievements
- ✓Successfully generated complete orthomosaic of solar farm (10.000+ images processed)
- ✓Developed topological mapping system
- ✓Implemented automated defect detection algorithms with Siamese Networks
- ✓Grabbed the attetion of the private sector for technology transfer.