FURI | Summer 2020

Applications of Artificial Intelligence in Waste Sorting Systems

Sustainability icon, disabled. A green leaf.
The objective of this research is to explore the feasibility of integrating artificial intelligence (AI) into waste sorting systems. The functionality, strengths, limitations, and applicability of AI in waste sorting systems was investigated, and a representative of a prominent AI waste sorting company was interviewed. Based on the findings, an optimized 3D model of an automated sorting system with integrated AI optics was created. The research concluded that with this optimized setup, the limitations of AI waste sorting can be mitigated and the accuracy and efficiency of current waste sorting systems can be improved.

Student researcher

Michael Masau Backlund

Aerospace engineering

Hometown: Mesa, Arizona, United States

Graduation date: Fall 2020

FURI Totals

TotalStudents

0

FacultyMentors

0

OnlineSymposia

0

ResearchFocus Areas

0

FURIProjects

0

MOREProjects

0

KEENProjects

0

GCSPProjects

0