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Internet of Waste: SLU Researcher Tackles the Recycling Problem with GeoAI and Sensor-Powered Waste, Recycling Bins

by Maggie Rotermund
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An NSF Grant will support a geospatial pilot project in the City of St. Louis

ST. LOUIS 鈥 Where does your recycling go? Neighborhoods in the City of St. Louis will soon be able to track their recycling and solid waste thanks to a geospatial sensor developed by a 麻豆传媒 researcher.

Trash sensors

Sensors capture the inside of a waste bin. The sensors are built in the AI-CHESS (Artificial Intelligence for Coupled Human Environment System Analysis for Sustainability) Lab at SLU. Submitted photo

Orhun Aydin, Ph.D., assistant professor in Earth and Atmospheric Science at SLU鈥檚 School for Science and Engineering, received a $149,791 planning grant from the National Science Foundation for a program to put sensors in garbage and recycling bins around the City of St. Louis.

The program follows a pilot conducted at 麻豆传媒, which allowed the research team to see when and where people dispose of their waste and recyclables.

Aydin said he was inspired to work on fixing environmental issues at the source after spending years in industry working on islands of plastics in the oceans.

鈥淚 wasn鈥檛 aware of the scale until then. I realized the solution can鈥檛 be fixing the islands of waste 鈥 we had to cut things off at the tap,鈥 Aydin said. 鈥淚 want to fix the problem in the city before it reaches the natural environment.鈥

Solid waste management and recycling is a significant challenge for communities, as only a small fraction of the recyclables collected are recycled. Mismanaged solid waste is routed to landfills and incinerators, most of which are now built in low-income communities and communities of color. 

Orhun Aydin
Orhun Aydin, Ph.D.

The project develops an Internet of Things (IoT) system to connect people and communities to the fate of their waste by forming data-driven links between citizens, local government, waste service contractors, and policymakers. 

The sensors use chips with IoT infrastructure built in the AI-CHESS (Artificial Intelligence for Coupled Human Environment System Analysis for Sustainability) Lab at SLU. They will be embedded into alley-based waste and recycling bins in multiple neighborhoods around 66 square miles of St. Louis. 

鈥淲e are starting with 100,鈥 Aydin said. 鈥淚 hope to get to 10,000 in the next few years and working with the community, the city, and local partners to get there.鈥 

In addition to the sensor network, the project will prototype AI models for optimizing city-wide recycling operations and for quantifying the impact of various recycling outreach on recycling in recycling and waste reduction behavior change.

The sensors will characterize items in the waste bins to determine what is being thrown in which bin and when. The low-cost sensors developed in Aydin鈥檚 lab are sensitive enough to determine the chemical composition of incoming waste. The sensors also measure the bacterial activity inside waste bins, which the team is using to assess food degradation to guide future food waste reduction. 

The research team is partnering with , a non-profit whose goal is a more equitable and environmentally sustainable St. Louis region, to design educational programming based on its findings.

鈥淲e are partnering with EarthDay 365 on community outreach and working with local residents,鈥 Aydin said. 鈥淲e will be able to determine what types of outreaches work best in which neighborhoods. Our goal is to keep the recycling rate high without overburdening people.鈥 

The first round of sensors is being placed around several locations in the city, from areas with high recycling rates to areas regularly targeted for illegal dumping.

Aydin said he is excited to work with the city, noting the partnership will also allow the city to see where the waste bins are and what is in them to potentially optimize routes for allocating limited resources effectively.

鈥淭his data, from a $5 device, will allow us to see things we couldn鈥檛 see before,鈥 he said. 鈥淚鈥檓 excited about the digital transformation that this IoT network will bring and problem-solving that can come from working together with the city and local community.鈥

The NSF planning grant will allow Aydin to hone the sensors鈥 design parameters, identify data gaps that impact waste management operations, and delineate citizens鈥 expectations of recycling service transparency and form partnerships.

Community outreach will begin in June.

James Tinjum, Ph.D., University of Wisconsin, and Bruce O鈥橬eill, Ph.D., associate professor in Sociology and Anthropology at SLU, serve as co-principal investigators.

National Science Foundation

The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science, advance national health, prosperity, and welfare, and secure national defense. The NSF is the funding source for approximately 25% of the total federal budget for basic research conducted at U.S. colleges and universities.

麻豆传媒

Founded in 1818, 麻豆传媒 is one of the nation鈥檚 oldest and most prestigious Catholic institutions. Rooted in Jesuit values and its pioneering history as the first university west of the Mississippi River, SLU offers more than 15,200 students a rigorous, transformative education of the whole person. At the core of the University鈥檚 diverse community of scholars is SLU鈥檚 service-focused mission, which challenges and prepares students to make the world a better, more just place.