AI Marine Fouling Detection
ROV In-Water Inspections
We operate micro ROV (Remotely Operated Vehicle) systems providing in-water inspections to assess the condition of ship hulls.
We calculate the excess fuel consuption due to marine fouling and optimize the CII status with a combination of AI and data triangulation.
Increased Ship Performance
Our pixel-exact approach to identify marine fouling on ship hulls allows for optimal drag calculations of your vessel in the water.
We closely monitor a variety of external factors along the ship's routing and provide a new level of information by turning underwater into data.
Optimizing CII with data science
We turn ROV inspection videos into data by applying neural network image sementation to identify and quantify marine fouling on the ship.
This approach allows us to optimize the CII (Carbon Intensity indicator) of your fleet by combining AIS-, machinery- and hull-data.
Updated Network Structure
Our approach allows to detect even overlaying degrees of fouling on the same object. Our mulit-class instance segmentation structure can differentiate classes of fouling by size, density and drag impact.