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.

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.

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.

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.