Sulzer Schmid and Nnaisense to develop cutting-edge AI engine for wind blade damage detection

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Sulzer Schmid, a Swiss company pioneering UAV technology for rotor blade inspections, and NNAISENSE, an artificial intelligence specialist, have partnered to develop an artificial intelligence engine to automatically detect rotor blade damages on wind turbine. This leapfrog technology is expected to bring the twin benefits of improving the productivity and consistency of blade inspection processes.

With this new development effort, the two partners are aiming to build the industry’s most powerful artificial intelligence engine able to recognize damages based on inspection image material. The initial version will be able to flag all areas of concern on any given damaged blade. Ensuing upgrades will add other capabilities such as the ability to establish damage categories and severity levels.

The autonomously flying drones of the 3DX™ Inspection Platform of Sulzer Schmid assure high-definition quality and consistent image acquisition time as well as 100% blade coverage while minimizing human errors and operational risks. The cutting-edge image assessment tools of the platform ensure detailed and efficient damage assessment. With the support of an AI-enabled inspection software, the review work of blade experts will be greatly facilitated. Instead of having to review the entire surface of the blades, they will simply need to focus on the pre-selected areas of concern. This technology progress will not only significantly boost the productivity of the reviewing teams but will also improve the quality of damage annotation processes.

Source: Sulzer Schmid