Eve is designed for exactly that. Pack the drone in a backpack, board a commercial flight, and be ready to inspect when you land. ✈️

🎒 Portable enough to travel as hand luggage

⚡ Sized to avoid the usual hassle with flight-restricted batteries

📍 Works as a resident drone on a wind farm, or as a rapid-reaction tool from a central hub such as your headquarters

It is a versatile tool for teams that need to move quickly, whether a client or a blade needs attention at short notice.

Where would you send it urgently if you could?

The post When the Blade Is on a Remote Island, Eve Fits in Your Backpack appeared first on Perceptual Robotics.

In March 2007, at a wind farm in  the USA, seven turbine blades cracked and large sections separated in mid-rotation. Every blade produced at the same plant since the previous summer, around 360 in total, had to be pulled from service and inspected. Some had already been shipped all around the USA. A later investigation pointed to a bonding defect in the manufacturing process.).

Here is the part that matters most for prevention. Cracks had already been spotted and reported in the local press weeks before the sections detached. The defect was not hidden. It was slow-moving and, across the batch, under-monitored.

A textbook propagation scenario:

🔎 An early signal: hairline cracking, likely shared across a whole manufacturing lot

📉 A detection gap: visible cracks were reported, but there was no systematic, fleet-wide tracking of how fast they were growing

⚠️ The outcome: a reactive shutdown of an entire product line, after material had already been ejected

This is one of the clearest cases for AI-assisted, fleet-wide inspection. With scheduled drone inspections and a model trained to flag and track bonding defects and delamination across sister turbines, not just one unit, a defect shared across a batch can be caught at the first-crack stage rather than after several blades have shed material. Spotting that several sister units share the same defect signature is exactly what fleet-wide anomaly detection is designed to do. And carrying out spot inspections with a resident drone allows tracking progress.

The technology to catch this exists today. In 2007, it did not. That gap is the opportunity in front of the industry now.

The post One Bad Batch, Seven Cracked Blades, and a Fleet-Wide Scramble appeared first on Perceptual Robotics.

The Repair Now Ratio (RNR) is designed to make that call easier. It helps teams weigh the likely cost of waiting against the cost of acting now, so repairs are prioritised on the consequences of leaving them rather than on guesswork. ⚖️

🔧 See at a glance which findings are worth acting on first

📊 Compare the cost of waiting with the cost of repairing now

🗂️ Build a repair campaign around what matters most

The short animation below walks through how it works. Take a look, then tell us how your team currently decides what to repair first and let’s see together if we can help you optimise the workflow.

The post How the Repair Now Ratio Turns “Should We Wait?” Into a Number appeared first on Perceptual Robotics.

None of it needs to cost you data quality, as long as it is planned for. Working with the light rather than against it, adjusting exposure as conditions shift, and building in the flexibility to move when the weather does.

A few things worth planning around:

🕐 less daylight, so tighter scheduling

🌦️ changeable weather and shorter clear windows

☀️ lower sun angles that affect exposure across the blade

Also in an operation mode: do you need to check some repairs done or left undone? Now it is the moment.

The teams that stay consistent through autumn are usually the ones that planned for the conditions rather than reacted to them.

The post Planning Inspections for Autumn: Light, Weather and Shorter Days appeared first on Perceptual Robotics.

This time she is not only attending, she is speaking. Her talk is titled ‘La trampa del CAT 3: reinventando la priorizacion de las reparaciones de palas’ (The CAT 3 Trap: rethinking how blade repairs are prioritised).

O&M is where much of the real work on a wind farm happens, long after the turbines go up. It is also where blade condition, inspection planning and repair decisions start to carry serious cost. Those are the conversations we care about most.

If you are going to be there, come along to Lucia’s session, or catch her on the day. She can talk through how autonomous drone inspection with Dhalion and Eve and AI  blade analytics support teams making decisions across their fleets.

📍 Feria de Valladolid, 14 October

🎤 Lucia speaking: “The CAT 3 Trap: rethinking how blade repairs are prioritised”

🤝 Come and see her presentation, or message Lucía Roca Fernández-Vizarra to fix a time to meet 1to1

The post Meet Lucia at the AEE Operations and Maintenance Event in Spain appeared first on Perceptual Robotics.

Lucía Roca Fernández-Vizarra and Dimitris Nikolaidis from our team will be at Colloque National France Renouvelables with our Dhalion system, and you will find us on stand C4 together with Werover.

Grab your chance to talk about autonomous drone inspection with Dhalion Dot and Eve systems, as well as AI data Processing and analytics and how we support owners, operators and service providers making decisions across their fleets.

The event runs on 7 and 8 October. If you are going to be there, Lucia and Dimitris would be glad to meet.

📍 Stand C4. CFR. Parc floral. Paris

🗓️ 7 to 8 October

🤝 Come and find us, or message us in Linkedin to arrange a time

Looking forward to our first time on the floor in France.

The post Perceptual Robotics Exhibiting in France appeared first on Perceptual Robotics.

The show returns to the Hamburg exhibition grounds from 22 to 25 September 2026, bringing the onshore and offshore wind industry together for four days. It is one of the dates we look forward to most, and a good place to talk through the practical side of blade inspection, repair planning and inspection data.

We would be glad to set aside time to meet. If WindEnergy Hamburg is already in your diary, let us know and we will book a slot to talk.

📍 Hall B7 Stand 602- See the map.

🤝 Book a meeting with the team via Linkedin or through our sales@perceptual-robotics.com email

The post WindEnergy Hamburg 2026: Save the Date and Book a Meeting appeared first on Perceptual Robotics.

You can watch as many videos as you like. But until you hold the drone, it stays a bit abstract. The same goes for the flying. People often assume there must be a pilot very focused, fighting the wind with two thumbs on a controller. There isn’t. You press play. The drone does the rest while you keep an eye on it.

That is the part most people want to see with their own eyes, so we are doing something about it.

We are running a Free Demo campaign near Bristol for the first 5 companies interested. If you want to see it in the field rather than on a screen, come along. 

What you will get out of it:

• 📏 A proper look at the drone. Its size, its weight, how it sits in your hand before it goes up.
• ▶️ The launch itself. No manual piloting, no joystick heroics. Start it and watch it work.
• 🌦️ The real conditions. Wind, light, a field that is never as tidy as a brochure photo. You see what is easy and what takes a bit of care.
• 🤝 Time to ask the awkward questions, the ones that only come up when the thing is right in front of you.

Send us a message to info@perceptual-robotics.com with ”DEMO in BRISTOL” in the subject and we will get to you.

The post See It For Yourself: Free Demo Campaign Near Bristol appeared first on Perceptual Robotics.

Small cracks, low-contrast marks, early erosion. On a screen full of near-identical white blade images, these are easy to scroll past, especially at volume and under time pressure.

This is where AI-supported analysis for wind turbine damage detection earns its place. It flags the areas worth a closer look, so a blade expert can confirm what matters rather than hunting for it. The judgement stays human. The AI just makes sure less slips through (according to our figures up to 14%).

Why it helps:

🔍 subtle defects get surfaced, not skipped

🧠 consistent flagging across large image sets

👁️experts spend their time confirming, not searching

Catching the small things early is often what keeps them from becoming the expensive things later.

The post Hidden Damage: What the Eye Misses and AI Flags for Review appeared first on Perceptual Robotics.

The programme runs across two days, the 4th and the 11th of September, and brings the offshore renewables community together online for talks and networking. Kostas will be on the agenda on Day 2, the 11th of September.

Why attend? If blade inspection, data quality and optimised repair planning are on your radar, it is a good chance to hear how our AI-supported analysis fit into offshore operations based on a real case, and to ask questions directly.

📅 Save the date Friday, 11th  September, at 11:25 (UTC+1=UK time)

🎤 Kostas presentation: “From damage lists to smart repair decisions: 

AI and the Repair Now Ratio in action on a 38 turbine offshore fleet”

💻 Online, so easy to join from anywhere

Full Agenda and registration: https://tech40.net/ore-agenda

The post ORE Tech 4.0 offshore renewables conference- Join us appeared first on Perceptual Robotics.