The problem:

Wind farm operators are scaling up. Hundreds of turbines. Thousands of blades.

And each inspection campaign  generates hundreds of high-resolution images with sometimes  thousands of damages.

But more data doesn’t always mean better outcomes.

🔍 Teams get overwhelmed

⏳ Analysis takes weeks

⚠️ Critical damage can be missed or delayed

 

The solution:

At Perceptual Robotics, we combine advanced AI with a scalable data processing platform to turn raw inspection data into clear, actionable insights -fast.

✔️ 14% more accurate in identifying blade damage than traditional methods

✔️ Automated severity scoring and repair prioritization with RNR

✔️ Designed to handle data from entire fleets, across multiple OEMs and geographies

 

💡 What Sets Us Apart: The RNR (Repair Now Ratio)

Understanding which blades are damaged isn’t enough, you need to know which ones to fix first.

That’s why we created RNR – Repair Now Ratio:

A proprietary metric that combines damage severity, urgency, and contextual risk to automatically prioritise repairs based on what matters most.

With RNR, you get:

🔧 A clear ranking of what needs attention now

📊 A fleet-wide overview of damage impact

🧠 Smarter planning for maintenance teams and budgets

Whether you’re scheduling proactive repairs or responding to urgent risks, RNR ensures you’re always focused on the right turbines, at the right time.

 

The result?

⏱️ Faster decision-making

🛠️ Optimised repair planning

📉 Savings: Less downtime and lower costs

 

When you’re managing hundreds of turbines, let our AI do the heavy lifting – so your team can focus on what matters.