If you are an offshore wind farm developer dealing with a lack of biodiversity data for environmental permits — this project developed AI-powered data processing that provides scientifically reliable information to speed up project approvals.
High-Resolution Underwater Mapping for Blue Carbon and Marine Asset Management
Imagine a satellite that works underwater instead of in space. It uses a special camera that sees colors and light patterns invisible to the human eye to map the ocean floor. This allows us to see exactly how healthy seagrass is and how much carbon it's trapping without having to dig up the seabed.
What needed solving
Traditional seafloor monitoring relies on slow, manual 'coring' and limited RGB cameras, leading to the undervaluation of blue carbon sinks and delays in offshore wind project approvals.
What was built
A hardware-software system called DiveRay featuring a hyperspectral camera and AI-powered data processing for automated seafloor mapping.
Who needs this
Who can put this to work
If you are a carbon credit provider dealing with the slow and expensive process of 'coring' the seabed — this project developed DiveRay technology that covers large areas and reduces data processing time to just 24 hours.
If you are a coastal manager dealing with outdated or imprecise seafloor maps — this project developed a hardware-software system for automated and objective mapping to better manage ocean resources.
Quick answers
What is the pricing or cost model for this technology?
The company has developed a lease-license strategy to make the technology widely available to the seafloor monitoring industry.
Can this be used at an industrial scale?
Yes, the technology is designed to cover large transects efficiently, significantly surpassing traditional manual monitoring methods.
How is the intellectual property handled?
Based on available project data, the technology is delivered via a lease-license model to protect the underlying hardware and software innovations.
How does it integrate with existing data workflows?
The system uses AI-powered processing to turn hyperspectral imagery into objective data, reducing the processing window to 24 hours.
What is the timeline for deployment?
The project period ran from 2022-05-01 to 2024-04-30, indicating the development phase is complete.
Who built it
The project is led by a single German SME, PlanBlue GmbH, which received 100% of the industry ratio. This lean structure suggests a fast-to-market approach where the coordinator retains full control over the IP and commercialization strategy.
Contact PlanBlue GmbH in Germany for lease-license inquiries.
Talk to the team behind this work.
Contact us to connect with PlanBlue for seafloor mapping pilots.