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T.R.A.S.H.
Tracking Recyclables Automated Sorting Hand

Description

The Tracking Recyclables Automated Sorting Hand (T.R.A.S.H.) project aims to create a compact, cost-effective robotic system for identifying and sorting recyclable materials. Using computer vision, optics, and machine learning, the system will detect aluminum cans, determine their position, and use a robotic arm to sort them efficiently. Unlike existing large and expensive solutions, T.R.A.S.H. is designed to be self-contained, energy-efficient, and scalable, making automated recycling accessible for small waste management operations. Future enhancements include improved detection accuracy, expanded sorting capabilities, and mobile app integration for monitoring and control.


Authors

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Sayed Almousawi

Electrical Engineering

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Dylan Bowers

Photonics Engineering

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Jayden Lumas

Computer Engineering

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Tristan Koopman

Mechanical Engineering


Reviewer Committee

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Dr. Behal

ECE Professor

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Dr. Peter Delfyett

CREOL Professor

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Dr. Mark Maddox

ECE Professor


Reviewer Committee

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Dr. Chung Yong Chan

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Dr. Aravinda Kar

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Dr. Lei Wei