Reducing waste and improving waste separation are crucial for achieving a sustainable society. The city of Wuppertal has initiated the 'Smart Waste Tal' project, which aims to use digital methods for waste prevention.
The researchers of the "Circular Economy" division at the Wuppertal Institute are developing an AI-supported image recognition tool to enhance the app of the municipal waste management company (AWG). Citizens can use image recognition to scan defective products and learn about their components, disposal options, or options for repairing, renting, or buying second-hand alternatives.
Additionally, the researchers are using a gamification approach to motivate citizens in the two pilot neighbourhoods Arrenberg and Wichlinghausen to avoid waste and separate waste in a high-quality manner through challenges and competitions. The gamification approach involves collecting data on waste quantity and sorting quality which is then made available to participants as feedback via an app extension.
Complementary work is also carried out by project partners, including workshops and informative events as part of the "Waste Literacy" measure to increase understanding and awareness of waste and resource conservation. The "Smart City Model Projects" network promotes the exchange and design of ideas, concepts, and applications with the urban community, other stakeholders, and municipalities. The city of Wuppertal aims to integrate digitalisation and citizen participation effectively for sustainable waste management.