vHive has announced a significant advancement in offshore wind turbine inspections with its in-house solution.
The company's platform allows autonomous inspections using off-the-shelf drones, eliminating the need for expensive hardware and specialised teams.
The solution empowers companies to conduct high-quality inspections in challenging offshore environments, reducing costs and streamlining operations.
Offshore wind turbine inspections are traditionally costly and complex, often requiring specialised equipment and expertise due to harsh weather conditions and fluctuating sea states.
vHive's solution addresses these challenges by enabling autonomous drone deployment, ensuring efficient and seamless inspections without compromising data quality.
By supporting compact, off-the-shelf drones, vHive’s solution eliminates the need for costly hardware and specialised teams. This allows companies to perform inspections independently, freeing them from reliance on third-party services.
vHive co-founder and CEO Yariv Geller stated: "We're proud to set a new standard for offshore wind turbine inspections. Our technology is designed to be as intuitive as it is powerful, allowing companies to bring inspections in-house without compromising on quality.
“This breakthrough highlights the transformative potential of our solutions, not just for wind farms in varied environments, but for the entire renewable energy sector."
The platform's strength lies in handling unpredictable offshore environments, supported by proprietary computer vision and machine learning technologies.
vHive's end-to-end solution facilitates complex data capture and the creation of digital twin models. This enables operators to analyse data for actionable insights, prioritise maintenance, reduce downtime and enhance turbine lifespan.
The technology's versatility makes it suitable for both onshore and offshore wind turbines.
The all-in-one platform also enables seamless management of renewable energy portfolios, empowering companies to bring inspections in-house and take control of their operational data.
