Projects

Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen
Better Access and Visibility of Sustainability Information in Online Retail using Artificial Intelligence

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…

Plastics monitoring, identification and capacity building in Indonesia

Recent research shows that Indonesian rivers are among the most polluted in the world. In response, the Indonesian government has launched the Indonesian’s Plan of Action for Combating Marine Debris,…

APLASTIC-Q-Data-analysis-for-waste-in-Obermaubach

Several European countries were affected by the destructive floods that occurred in Central Europe in July 2021. The floods damaged infrastructure in the process, and large amounts of debris were…

AI enhanced Litter Harvester

The AILHA – AI enhanced Litter Harvester project aims to clean litter from the world's waters and returning the raw materials to the circular economy, e.g. through on-site recycling processes. For…

The North Sea from space: Using explainable artificial intelligence to improve satellite observations of climate change
NEW APPROACH TO UNDERWATER TECHNOLOGIES FOR INNOVATIVE, LOW-COST OCEAN OBSERVATION

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…

Aquatic plastic litter detection, classification and quantification in Vietnam

Plastic pollution has a variety of global impacts and is harmful against the environment, can damage the economy and enter the food chain. The economic damage caused by plastic pollution in Vietnam is…

Maritime Traffic Emissions: A monitoring network

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…

Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen
Artificial intelligence records plastic pollution of rivers in Cambodia and Myanmar

Latest research results indicate that most of the plastic waste is transported via waterways of more than 100 km², making rivers to the main routes for plastic waste to the oceans. This has prompted…

Artificial intelligence records plastic pollution of rivers in the Philippines

The Philippines has the third highest rate of incorrectly disposed plastic waste in the world. The greater Manila area is severely affected by the increased risk of flooding and the accumulation of…

Smart sensor technology helps to cut plastic waste in the oceans

Plastic waste in the world`s oceans poses a threat to the marine ecosystem and also to humans. This type of waste is by and large produced on land and reaches the sea via rivers. In particular Asia is…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz