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WT-Bird

by TNO

AI Application
Low Confidence

WT-Bird is TNO's system for detecting bird and bat collisions with wind-turbine blades. It combines high-sensitivity fibre-optic vibration sensors in the blades, impact classification algorithms and AI-supported image processing into a real-time collision detection platform. TNO delivers 12 WT-Bird systems to the Ecowende offshore wind farm (Hollandse Kust West VI), where sensors on all blades of some turbines and cameras on the platform register whether a bird or bat has hit a blade. Ecowende uses the data to understand how birds and bats behave around turbines; the system registers collisions and does not control the turbines. TNO reports high detection rates even for light objects of 8-40 g.

Transparency Score

Weighted across four pillars · updated November 2, 2026

Overall grade
33% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Collision Detection
Image Classification

Vendor Information

Complete information about the vendor/provider of this AI application

TNOView all products →
Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek TNO
Contact Information
info@gpt-nl.nl
Registered Address
Anna van Buerenplein 1, The Hague, 2595 DA, NL

EU AI Act Provider Information

Verification Status:
Unverified
Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek TNO
Anna van Buerenplein 1, The Hague, 2595 DA, NL
info@gpt-nl.nl
Compliance Documents
CE Marking: Not Applicable

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Added: November 2, 2026
Updated: November 2, 2026

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