By Paul Dvorak Chris Shroyer / CEO/ EdgeData
The concept of big data was once thought to be a route to improving wind turbine inspections. Somehow, more data would provide deeper insight into turbine conditions. Then came high-quality images and meta-data from aerial blade inspections.
Instead of big data, actionable intelligence is the preferred result of unmanned aerial systems (UAS) or drone wind turbine inspections. More recent advances, such as “deep learning” technology lets computers recognize damage, pinpointing exact areas that need attention. In addition, with time, patent-pending analytic software can track trends in wear and damage, and help operators determine proactive plans to
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