Projects

Digital Twins (DTs) have gained significant popularity in various industries due to their real-time representation of physical objects. Recently, interest in applying DTs to environmental science has

Beach litter is increasingly considered an important indicator of ocean pollution in international agreements. In the past, numerous methods have been developed to record beach litter. However, these

Partners marinom GmbH Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

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 decision-makin

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 spi

Partners Wuppertal Institut für Klima, Umwelt, Energie gGmbH VDI Technologiezentrum GmbH VDI Zentrum Ressourceneffizienz GmbH

Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − Technische Universität Braunschweig (TUBS) − Technische Uni

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 wi

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 populatio