Sort-e [automated waste sorting system]

Peer reviewed: 
No, item is not peer reviewed.
Scholarly level: 
Undergraduate student
Date created: 
2021-04
Identifier: 
ENSC405407
Keywords: 
ENSC 405W
ENSC 440
Automation
Sustainable development
Abstract: 

To support and move towards a sustainable future, BGreen is developing our prototype, the Sort-e, an add-on accessory that may be adjusted to fit current existing waste bins to encourage and promote sustainable practices. This device is intended to beused in schools and public areas where users may require assistance in sorting waste material effectively and efficiently. The Sort-e machine uses artificial intelligence technology to identify and transfer waste material to their designated waste bins.

Description: 

Undergraduate Engineering students are required to complete a group-based, two-course capstone sequence: ENSC 405W and ENSC 440.  Groups form company structures and create an innovative product that potentially acts as a solution to a real-life problem.  This collection archives the following assignments: proposal, design specifications, requirements specifications, and proof of concept.

Language: 
English
Document type: 
Graduating extended essay / Research project
Rights: 
Copyright resides with the authours.
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