DEFECT DETECTION IN WINDMILLS
Autonomous flight inspection with mosaic generation and AI-powered defect detection for wind turbines.
Computer VisionDronesAutonomous FlightDefect DetectionWind Energy
Overview
This project focused on autonomous drone flights for wind turbine inspection. The system generates high-resolution mosaics of the full windmill, and employs computer vision techniques to automatically detect defects, improving inspection safety and efficiency. Due to the scarcity of anomalous data, novel synthetic techniques have been employed.
My Role
Project Lead Researcher (Computer Vision)
Technologies & Skills
Computer VisionAutonomous MissionsMosaic GenerationDefect DetectionSynthetic Data
Key Achievements
- ✓Autonomous drone mission successfuly validated in an operational windmill
- ✓Defect detection deep learning algorithms successfuly validated with technicians for fast, effecient and early detection