The project ROMULO “Robots and Modelling Underwater litter Observation” co-financed by Fundación Biodiversidad and Ecoembes carry on a methodology based on Autonomous Underwater Vehicles and hydrodynamic models to detect and map marine litter. Lagrangian models (based in ROMS; Regional Ocean Model System) try to monitor where the marine litter is most likely found. An Autonomous Underwater Vehicle (AUV) with capabilities to map the seafloor register a video files with positioning data, among others. Finally, an App identify, classify and locate the litter recorded by cameras on the AUV.
2130 meters tracked
126 marine litter georeferenced
4 recording hours
Mediterranean Sea and Mar Menor Lagoon