Projects

Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen
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…

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…

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz