Professors Kevin Barrera and Yolanda Vidal, finalists in the AI4Blades Challenge

The international AI4Blades competition invites participants to develop innovative solutions based on artificial intelligence for the inspection of wind turbine blades, using the KI-VISIR dataset, which includes thousands of high-resolution visual and thermal images.

The project by professors Kevin Barrera and Yolanda Vidal has been selected among the top three and will be presented at the WindEurope Technology Workshop 2025, which will take place this June in Istanbul. The proposal uses deep learning to detect turbulence patterns that affect windmills and is entitled: Combined deep learning and explainability for detecting thermal turbulence patterns and surface damage on rotor blades.