Wind Energy

Automated Wind Turbine Blade Diagnostics

Detecting millimeter-sized cracks and erosion with autonomous flight paths.

Wind Turbine Blade Diagnostics

The Problem

An offshore wind farm operator was facing high costs and safety risks associated with manual rope-access inspections.

  • • Manual inspection took 4-6 hours per turbine
  • • High safety risk for technicians
  • • Weather windows were often missed due to slow deployment

They needed a faster, safer way to monitor blade health.

The Solution

Indavian deployed autonomous drones capable of flying pre-programmed vertical scans of each blade.

The drones captured 100MP images of all blade surfaces. Our AI Fault Analytics platform then processed these images to identify leading-edge erosion, lightning strikes, and delamination.

Project Outcomes

45 Mins

Per Turbine Inspection Time

70%

Reduction in Inspection Costs

Zero

Safety Incidents

Technology Used

Autonomous Flight Logic 100MP Phase One Camera Computer Vision Cloud Digital Twin

Optimize Your Wind Assets

Switch to autonomous drone inspections today.

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