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SkySpecs Wind

Inspections

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Autonomous Blade Inspections

Our autonomous blade inspections are the foundation of what we do. Using Foresight, our fully autonomous drones designed and assembled in the U.S., we capture high-resolution imagery in just 15 minutes per turbine. The result?

Consistent, repeatable data for precise damage analysis. All results are delivered via our industry-leading blade management software, complete with severity and anomaly categorization to help you monitor the health of your blade, plan repairs efficiently and maximize uptime.

Service Offering

Internal Blade Inspections

Internal blade inspections help detect costly internal damage early.

Technology

SkyCrawler, our internal inspection rover, is equipped with a high-resolution 350 degree camera, LiDAR, highly accurate positioning equipment and adjustable lighting.

Key Benefit

Our skilled and certified teams capture detailed internal blade data, even in difficult environments with a fast turnaround on the anomaly analysis.

Platform Integration

Results are organized in our SkySpecs-blade asset management platform alongside external inspection data for one complete view of blade health.

Outcome:

A complete, comparable internal and external view of blade health for smarter maintenance decisions.

Outcome:

Helps keep wind assets performing at their best.

Service Offering

Tower, TP & Nacelle Inspections

SkySpecs inspections also cover towers, transition pieces, and nacelles.

What They Detect

Corrosion, coating damage, weld cracks, and loose components.

Technology

High-resolution drone imagery gives teams a close, consistent view of hard-to-access structures.

First Mile T&D

Transmission Line (T-Line) Inspections

SkySpecs offers drone-based T-Line inspections.

What They Detect

Structural defects, electrical issues, and compliance risks.

Key Benefit

Efficient aerial coverage gives teams the information they need without the cost and risk of traditional inspection methods.

Outcome:

Fewer outages, lower risk, and a cost-effective alternative to traditional inspection methods.

By the numbers

Inspection impact at scale

1M+

Wind turbine inspections globally onshore & offshore

165+

Gigawatts served

75%+

Of North American blades monitored annually

Don’t take our word for it

“A new record was broken at our Teesside offshore wind farm this month. The SkySpecs team carried out 25 turbine inspections in ONE day using their fully automated drone technology. Previously, it took one day for our technicians to inspect ONE turbine alone using ropes access! By the end of the year, the SkySpecs team will have inspected 350 turbines across our operating sites.”

Matthieu Hue

Chief Executive Officer, EDF UK

FAQ

FAQ for
Inspections Page

What types of inspections does SkySpecs offer?

SkySpecs offers autonomous blade inspections, internal blade inspections, tower, transition piece and nacelle inspections, as well as drone-based transmission line inspections.

How long does a turbine inspection take?

A standard autonomous external blade inspection takes approximately 15 minutes per turbine.

What data is collected during an inspection?

Inspections capture high-resolution imagery for precise damage analysis.

How are inspection results delivered?

Results are delivered through SkySpecs-blade asset management, our proprietary asset management software. Results include damage severity and anomaly categorization.

Can SkySpecs detect internal blade damage?

Yes. SkyCrawler internal inspections capture detailed imagery and LiDAR data inside blades, including in difficult environments.

How do inspections help with repair planning?

Consistent, comparable inspection data helps teams prioritize damage, plan repairs efficiently, reduce downtime, and track asset health over time.

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Ensure Positive and
Profitable Outcomes

The SkySpecs FleetOS difference is our end-to-end offering which is fast and expert led. Our infield operations coupled with our AI assisted analysis and software form the world’s best operating system for renewable energy assets.

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