Drone-based blade and structural inspection for onshore and offshore wind farms. High-resolution imagery, AI-assisted defect detection and classification.
Request a QuoteDrone-based wind turbine inspection replaces rope-access blade walks with fast, repeatable, high-resolution surveys. AI-assisted defect detection speeds up the analysis and catches more of what a manual review misses.
All four blade surfaces inspected in 1.5–2 hours per turbine vs. 1–2 days by rope access.
Coverage: leading edge erosion, trailing edge cracks, lightning protection receptors, tip and root condition.
AI-classified defects come with a severity ranking, which speeds up engineering review and cuts down on missed defects.
Methodology aligned with DNV recommendations for wind blade inspection.
A complete blade survey takes under 2 hours. A full park wraps in days, not weeks.
No rope access needed. Inspection happens from ground level.
Automated severity classification accelerates engineering review.
Aligned with DNV recommendations for blade inspection.
Year-on-year comparison tracks erosion progression and warranty defects.
Leading edge, trailing edge, suction side, pressure side — full coverage.
Indicative figures based on typical engagements — actuals depend on scope, asset and access constraints.
Annual blade and tower inspection of multi-turbine onshore parks.
Vessel-launched drone inspection of fixed and floating offshore wind turbines.
Rapid post-event survey of suspected blade damage, documented for warranty and insurance claims.
New-installation inspection at handover — verify zero defects before warranty period begins.
Specific inspection of lightning protection system after detected strike events.
A scoping survey ahead of rope access, so ground crews go straight to confirmed defect locations.
Drone inspection is typically 4–8× faster, eliminates personnel at height risk, and produces a complete digital record (4K imagery) for trending and warranty work. Rope access remains valuable for repair execution; drone is now standard for the inspection and decision-making step.
Leading edge erosion, trailing edge cracks, surface coating damage, lightning protection receptor condition, lightning strike scarring, root and tip damage, and surface contamination. AI-classified by severity per DNV-RP-0584 categories.
Yes. Both fixed and floating offshore wind turbines — vessel-launched or platform-launched depending on access and weather window.
Per-blade defect register with severity, georeferenced imagery, AI-classification confidence scores, and an inspection report formatted for OEM warranty submission and asset management ingest.
Tell us the park size, location and timing. We'll quote per turbine and recommend the best flight window.