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DNV has launched a collaborative research project to develop automated data processing for verification of detected wind turbine blade defects. The research project, which is being conducted in partnership with the University of Bristol and Perceptual Robotics, will investigate the automated verification, validation and processing of inspection data, collected by autonomous drones, to improve inspection quality and performance. The project aims to contribute to the development of the UK automated inspection industry. Unmanned autonomous and remote-controlled vehicles and drones are routinely ...

DNV, partners launch researching automated verification of offshore wind turbine inspection results 5/13/2021 DNV has launched a new collaborative research project to develop an automated data processing procedure for verification of detected wind turbine blade defects, with the aim of building trust and generating broader acceptance of automated data processing techniques across the industry and to inform future regulation. The research project, which is being conducted in partnership with the University of Bristol and Perceptual Robotics, will investigate the...