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EisAuge Ice detection on wind turbines using AI-assisted image processing Icing on rotor blades of wind turbines leads to downtimes every year and thus to considerable financial losses. The "EisAuge" project aims to develop a camera-based ice detection system to reduce these downtimes. The captured RGB and infrared images are analyzed by modern artificial intelligence (AI) methods to determine the current icing condition on the turbine rotor blades. The captured images and the model outputs are then stored in a cloud solution. BIBA is developing the camera system in this project. The goal here is a camera system that can capture sharp, detailed images both during the day and at night. In addition, BIBA is supporting the development of the AI algorithms in the project. For this purpose, modern methods of image processing, like for example Convolutional Neural Networks (CNNs), are utilized. The focus here is in particular on the transferability of the models to new wind turbines. Contact persons: M. Kreutz   (Project manager)Funded by: Land Bremen / EFRE / PFAU Duration: 16.07.2021 - 31.03.2023 See project's publications List all projects |
