OFFSHORE WIND • BIODIVERSITY MONITORING

RWE SeaMe: Long-Term Underwater Camera Monitoring Around Offshore Wind Farms

30 experts

From 6 different teams globally monitoring impact

3 years

Biodiversity and ecosystem condition monitoring

Client

RWE

About

SeaMe (Sustainable ecosystem approach in Monitoring the marine Environment) is RWE’s initiative that aims to redefine offshore environmental monitoring by developing scalable, low-impact biodiversity monitoring solutions for better impact mitigation methods. Alongside eDNA, AUVs, drones, and other tools, AnemoLive cameras provide continuous visual data, enabling ecosystem-aware decisions.

Timeline

2024 - ongoing

Location

Kaskasi Offshore Wind Farm, Germany

Partners

RWE (lead), AWI, Helmholtz HIFMB, BioConsult SH, DHI A/S, Spoor, DFKI

Need help with your next marine project? Let's talk

The Project

Understanding how fish interact with new reef structures

The SeaMe project, led by RWE, explores scalable, low-impact approaches to monitoring offshore ecosystems using science-based, non-invasive methods.

At the Kaskasi wind farm near Helgoland, Anemo Robotics contributes continuous, camera-based monitoring of fish and other mobile fauna. Alongside eDNA, AUVs, drones, and other tools, AnemoLive cameras provide continuous visual data, enabling ecosystem-aware decisions while reducing carbon footprint and disturbance to marine life.

Working closely with Dr. Petra Ringeltaube (Senior Environment Manager – Marine Ecologist), project lead for SeaMe, the focus was aligned early on a core challenge: how to collect ecological evidence continuously, rather than relying on isolated snapshots.


Anemo Robotics team with Dr. Petra Ringeltaube on Helgoland with AnemoLive Camera stero setup before deployment
The Challenge

Pushing the limits of underwater visual data

Most offshore monitoring still relies on short survey windows. These methods provide useful data, but only from limited moments in time, making it difficult to capture day-to-day variation, seasonal change, and the full range of species activity.

For this project, the challenge was not just to record continuously with non-invasive tech, but to push how much ecological insight could be extracted from visual data. Beyond species presence and activity patterns, the system needed to support more advanced analysis, including fish length estimation and biomass calculation.

At the same time, the system had to operate reliably under North Sea conditions, where low temperatures, changing visibility, and long deployment periods place real demands on offshore monitoring.

De-risking offshore deployment

Before offshore deployment, methods and workflows were tested with SeaMe partners in controlled environments reflecting real-world constraints. This phase brought together field teams, scientists, and environmental managers to align on what data should be collected and how it would be used.

At the Alfred Wegener Institute (AWI), camera configurations and operational routines were refined before deployment offshore.


Anemo team with SeaMe Scientists in testing facility standing next to test Anemo Cameras

Indoor basin facility photo with Prof. Dr. Philipp Fischer, Prof. Dr. Maarten Boersma, and Dr. Petra Ringeltaube

The Solution

Advanced live-streamed offshore monitoring

Anemo Robotics deployed a lander-based camera system designed for continuous offshore monitoring around wind farm structures. The setup consists of three seabed landers, each equipped with three AnemoLive cameras.

Cameras are positioned to capture activity across defined distances from offshore structures, enabling comparison of marine life patterns across space. When configured as stereo pairs, the system also supports fish length estimation and biomass calculations.

Unlike traditional monitoring campaigns, the system operates as a live and ongoing setup. Cameras are connected to a fixed power and data source, enabling continuous recording and direct data transfer without retrieval cycles.


Anemo Stere pair Setup with 3 AnemoLive Cameras on a Lander base structure

Footage is processed using AI-assisted detection workflows (AnemoAI), which are continuously refined using annotated site-specific data, including 5 000 + labelled frames covering local species, lighting conditions, and visibility. This allows the system to adapt over time and deliver consistent, structured observations throughout the deployment.

Monitoring approach & setup

SeaMe’s camera monitoring is built around robust planning and configurations that support day/night operation and multi-month observation windows, so monitoring continues even in the harshest offshore conditions.


Design choice

Why it matters

3 lander stations at 2 m, 10 m, and 40 m from structures

Enables direct comparison of marine life activity across spatial gradients

9 AnemoLive wired cameras (3 per lander)

No retrieval needed, enabling long-term, uninterrupted operation

Stereo camera configuration

Enables fish length estimation and biomass calculations

Integrated illumination

Captures activity during low-light and night-time periods

Anti-biofouling wiper system

Maintains image quality over long deployments

Outcomes

From observation to continuous ecological data

The system operates continuously, generating a live stream of underwater observations from offshore conditions.

Rather than relying on isolated datasets, the setup provides ongoing visibility into marine life activity around offshore structures. The resulting data are processed into structured outputs, including species detection, activity patterns, and temporal insights.

These outputs feed into dashboards and reporting aligned with biodiversity frameworks such as CSRD and TNFD, supporting integration into broader monitoring systems.

The project is currently ongoing, with data continuously collected and processed throughout the deployment period.


Recognition

SeaMe’s impact has been recognised beyond the project team: RWE’s SeaMe won “Environmental Sustainability Project of the Year” at the 2025 IMCA Awards.

Anemo

Receive updates from Anemo Robotics in your inbox!

© 2025 Anemo Robotics ApS