The project focuses on efficient offshore autonomous  blade inspections from SOVs, as we believe there is room for more efficient offshore inspections by aligning with other O&M activities. Removing the need for dedicated inspection vessels or extra vessel time, makes each inspection much cheaper and creates a realistic path from biennial to annual (or even more frequent) full-farm inspection.

It is focused on inspections for wind farms beyond 30 km distance from shore which currently represent more than 27 GW only in Europe.

For wind farm operators, more frequent inspection means earlier detection of damage and leading-edge erosion, protecting energy yield and avoiding costly blade failures. Satellite technology is what makes this work at sea: GNSS (Global Navigation Satellite System) with RTK (Real Time Kinematics) corrections gives the centimeter-level positioning needed for safe, repeatable flight close to turbine structures. LEO satellite communications move imagery to the cloud while the vessel is still working. There, AI-assisted analysis, reviewed by blade experts, produces inspection reports within a 48-hour target. 

SOV operators gain a differentiated service that needs no vessel modifications. 

O&M providers get timely, reliable damage data for planning repairs. 

The BDR (Baseline Design Review) meeting review took place in September and work packages within the project are progressing to schedule. We have identified many customer requirements from meetings with many relevant stakeholders (Owners and Operators and Manufacturers) across the offshore world 🌊

A big thank you to everyone who has taken part so far in the technical interviews. If you work in offshore wind and would like to feed in your requirements too, we would be glad to hear from you.

As the project moves on, we will have more news to share. For the moment we are still in the preliminary phase.

The project page on the ESA website is now live if you would like to learn more about the project https://business.esa.int/projects/adbisov,

The post Inspecting Blades Without a Dedicated Vessel appeared first on Perceptual Robotics.

Matrice 400 brings a better IP rating than its predecessors, and extra flight time: you get about 38 minutes flight time, which is particularly useful on large turbines. In addition, the battery charges much faster than in the M300 and M350, so you need fewer batteries around for a full day of inspections.

To align with it, we have made changes to our Dhalion Dot solution for the M400. It now needs less hardware, with no ground station involved. That means lower cost, and less to carry and manage in the field. 🎒

• 🔧 No ground station and no custom payload
• 💷 Lower hardware cost
• 🛠️ Less to set up and handle on site

If you work with the M400 and want a light setup, providing fully autonomous inspections with perpendicularity and accuracy, we would be glad to show you how it works. Want to try it?

The post Flying a DJI Matrice 400? Our Dot Setup Just Got Lighter appeared first on Perceptual Robotics.

From 10 to 12 November the Spreewindtage runs in Linstow, with three days of forums, exhibitors and plenty of corridor conversations. 

Aigars speaks fluent German and knows the market well, so if you want to talk autonomous blade inspection, repair prioritisation, or running inspections in house, he is the person to find.

🇩🇪 Windenergietage 2026

🗓️ 10 to 12 November 2026

📍 Linstow

Send Aigars a message if you would like to meet while he is there.

The post Meet Aigars at the Windenergietage in Linstow, 10 to 12 November appeared first on Perceptual Robotics.

Kaspars Litavnieks will be at Offshore Wind Poland 2026 in Warsaw on 17 and 18 November, at the Sheraton Grand Warsaw. If you are looking at blade inspection, repair planning, bringing inspections in house,  or you are interested in our ESA- funded ADBISOV project (Advanced Blade Inspections from SOV), it is a good chance to talk it through in person.

🗓️ 17 to 18 November 2026

📍 Sheraton Grand Warsaw, Warsaw

👋 Ask for Kaspars

If you will be there and want to find a time to meet, send him a message and we will set it up.

The post Meet Kaspars at Offshore Wind Poland, 17 to 18 November appeared first on Perceptual Robotics.

If you already have an M4E, things are easy. Reach out, install the software, do your online training, and you can run autonomous inspections the next day. The whole setup happens remotely through a single app.

And once you are running, now your account is yours to manage. You should not have to wait on us to add a colleague, client,  or supplier or change what they can see or edit. Now you do not have to.

You can set your own user roles and add new users yourself, directly on the platform. Take full control of your account and your team’s access, on your own schedule. 🔐

🖥️ Full remote setup through one app
🎓 Online training, then straight to inspecting
👥 Add and manage your own users⏱️ No need to wait on a request to us
🎚️ Set roles and permissions to match how your team actually works

They are small changes that make day-to-day work smoother. If you would like a quick walkthrough of the new controls or of the M4E set up, just ask.

The post Your Operation, Your Control: Set Up and Run It Yourself appeared first on Perceptual Robotics.

The awards recognise businesses driving innovation across the South West, so it means a lot to see our work on AI powered drone inspections for wind turbine blades recognised alongside so many strong teams from the region.

Being based in Bristol, this one is close to home. A big thank you to the team whose work makes it possible, and to the customers and partners who help us keep improving how blade inspections get done.

The winners will be announced at the Tech South West Awards 2026 on Thursday 26 November, from 6pm to midnight, at Ashton Gate Stadium in Bristol. We’re looking forward to the night.

🏆 Climate Tech finalist
📍 Ashton Gate Stadium, Bristol
📅 Thursday 26 November

The post Shortlisted. Perceptual Robotics is through to the Climate Tech final at the Tech South West Awards 2026. appeared first on Perceptual Robotics.

Building a blade inspection company that operators come back to, across more than 20 countries. Turning blade data into decisions that keep turbines running and keep maintenance teams focused on the blades that actually need attention.

Congratulations Kostas and Dimitris, and thank you to 40 under 40 and to every operator who has trusted us with their blades and inspections.

See the full 40 Under 40 list here: 

Link  https://www.fortunegreece.com/business-list/40-under-40-2026/

The post Our founders are featured on the Fortune 40 under 40 Greece list appeared first on Perceptual Robotics.

Based in Riga, Latvia, Aigars joins us with valuable experience, having previously worked at a robotics wind company and extensively in German speaking countries. With a full command of German, he will be the reference point for our DACH markets  (Germany, Austria and Switzerland). 

He landed straight into the deep end at WindEnergy Hamburg, and brought plenty of enthusiasm with him. After such an intense week he feels like family already! We are very happy to have him on board.

Welcome to the team Aigars!

The post Meet the Team: Aigars Eglitis, Now Covering the DACH Markets appeared first on Perceptual Robotics.

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.