The key challenges in operational shipping are sustainable and optimal ship operation and the reduction of emissions. In international merchant shipping, weather routing is already being…
More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as well as optimise complex processes and…
Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil…
The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the…
Airborne monitoring for plastic litter detection represents a modern, universal observation method to address the urgent and rapidly increasing problem of plastic litter pollution on a global scale…
The importance of online retail has been growing for years and has received another boost from the Corona pandemic. At the same time, awareness of sustainable consumption is rising among the…
The project aims to accelerate Natural Science research process through part automatization of execution of experimentation by AI powered Change Event based Sensor Sampling (ChESS), e.g. for systems…
The deep ocean, below 200 m water depth, and the open ocean environment above it, are largest habitats but least observed ones of our planet. These highly dynamic systems provide critical climate…
Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a severe threat to the marine environment and coastal…
