Wind Farms

Enhancing safety, efficiency and asset longevity through AI fleet condition monitoring, Unleash live propels the drive toward sustainable wind energy advancement.

Diagram showing wind turbine blade erosion. The diagram highlights a vortex generator component, leading edge erosion rated severity 4, and paint damage rated severity 2, with wind turbines in the background.
Using Drone and Autofly to conduct wind turbine inspections

Collect

Get true remote operational control and accurate, repeatable data capture. Automate wind turbine, distribution and substation inspections, with optimized flight paths for specific asset types.

A computer screen displaying a drone analysis software with multiple instances of leading edge erosion marked on a wind turbine blade. Labels indicate distances for each erosion instance, with color-coded warnings for erosion severity, and a pink annotation box states 'Leading Edge Erosion: 7 instances detected'.

Analyze

Detect up to 5 component classes and 10 fault classes on wind turbines to evaluate overall asset condition with AI analytics. View complete asset portfolio in accordance with internal inspection and maintenance standards.

Dashboard showing a satellite map of a wind turbine site on the left, and a damage table with inspection details on the right, along with bar and pie charts below. The dashboard has a blue theme and includes various controls and data visualization options.

Action

High quality images and insights integrated via API with asset management platforms and work scheduling systems.

Supporting every stage of your workflow

A pipeline diagram showing six sequential phases: Readiness, Inspection Scheduling, Mission Planning, Capture and Upload, AI Fault Detection, and Reporting.
Red circle with the number 1 inside.

Readiness

  • Sourcing drone service providers

  • Pilot onboarding and training

  • Developing Standard Operating Procedures

  • Regulatory approvals

Line drawing of a wind turbine, a factory worker icon wearing a hard hat and holding a heart, and a drone with a red circle on its body.
Red circle with the number 2 inside.

Inspection Scheduling

  • Divide, assign and view pilot’s workload

  • View asset details, including last inspection

Step 2 - inspection scheduling - illustration
Red circle with the number 3 inside.

Mission Planning

  • Request, generate and distribute missions

  • Simulate missions for improved safety

  • UTM support for air space clearance

  • Predefine inspection details per asset type with SmartSkills and SmartInspect

Step 3 - mission planning - illustration
Red number four inside a red circle on a white background.

Capture and Upload

  • Automated asset capture for consistent repeatable collection at scale

  • Precise capture for complete asset coverage

  • Upload from the field to reduce time to action

Diagram of a wind turbine with four drones nearby, transmitting data wirelessly.
Red circle with the number 5 inside

AI Fault Detection

  • Rapid AI analytics

  • Fault and component detection

  • Condition monitoring for asset health tracking

  • Customizable to internal inspection and maintenance standards

Line drawing of a laptop with a grid of nine squares on the screen, a red highlight pointing to a specific square, and a magnified inset showing detailed close-up of the same highlighted square.
Red number six inside a red circle on a white background.

Reporting

  • Distribute insights to stakeholders through digital reports, PDFs and CSV (database)

  • API integration with your workflow platforms such as SAP, Esri, Maximo, PowerBI and Ellipse

  • Detailed report generation aligned to site naming convention

Step 6 - flight logging - illustration

Mastering Remote Operations in the Energy Sector

Learn how to maintain and extend the life of your energy assets with computer vision and a seamless digital workflow.

Book titled 'Mastering Remote Operations in the Energy Sector' with wind turbines on the cover.
“All the defects are so accurate! I have compared the results with previous inspection on the same turbines and the results are impressive. I can go further, the result of the AI algorithms was better than the previous collection.”
— Robotics Specialist Engineer | EDP Renewables
A large white wind turbine with three blades against a blue sky with wispy clouds, and a drone flying near the turbine.

CASE STUDY

Worley logo

Worley

Worley, a global leader in O&M services, partnered with Unleash live to inspect wind turbines and connected power lines. Cost-effective and consistent inspections resulted in reduced labor costs, minimized downtime and optimized return on investment.

5X

Increase in efficiency through improved collection and reporting

80%

Reduction in cost - travel, operation and conducting inspections

$250K

Savings per year 
on a 250 MW farm

Unleash live achieved ISO 27001 certification
Unleash live is Energy Software Competency Partner of AWS
Unleash live is GDPR compliant

Security

Built on world leading infrastructure for secure and scalable deployment.


Ensuring compliance with data sovereignty requirements, including storing data on AWS servers in your country of operations.

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