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AI and machine learning used to keep birds safe in offshore windfarms

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Greek start-up Nvisionist has unveiled a new version of its award-winning Nvbird system which is designed to detect birds in the vicinity of offshore windfarms, classify them according to species and deter them from entering an area

The company’s chief executive Tassos Alefantos participated in a session, Technology for mitigating and ensuring positive biodiversity impacts, at WindEurope’s exhibition and conference in Bilbao earlier this month. The company has developed similar systems for use at airports and other applications where birds may be at risk and has won several awards for its technology.

The system combines the use of advanced but inexpensive 3D radars on the perimeter of an offshore windfarm, RGB cameras and artificial intelligence and machine learning technology to identify birds.

Once birds have been detected by the radar and their trajectory determined, cameras mounted on the turbines obtain images of them and a specially developed algorithm allows Nvbird to detect and recognise bird species with a high level of accuracy.

The system analyses their flight path and activates audio devices that deter them from entering areas in which they might be at risk. The system is also capable of being integrated into a wind turbine to stop it until the birds are safe.

The Offshore Wind Journal Conference will be held 14 June 2022. Register your interest and access more information here

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