This MQP seeks to increase waste sorting efficiency via an automated conveyor belt and gantry system. Specifically, recycling initiatives continue to suffer from issues of efficiency and profitability, leaving them to benefit most from such innovations. The gantry-based system allows for rapid, yet precise, movements between destinations. Integrated visual detection identifies and isolates objects on the belt, predetermining these horizontal and vertical movements without creating delays. Modular design structured around the use of interchangeable end effectors broadens utility and increases the types of recyclables that can be sorted. With these focuses on versatility, reliability, and minimal operational oversight, this project offers a valuable solution for the deficits of the recycling industry.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Cohen, Brett
• Childers, Valerie
• Noble, Isaac
• Moy, Nicholas
• Wolf, Lily
• Ward, Gabriel
• Hunt, Dylan

Subject

• Environment
• Innovation
• Sustainability
• Project-Based Learning
• Computing
• Industry

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042324-161830
• 121419

Parola chiave

• Autonomous
• Recycling
• Sorting
• Object Detection

Advisor

• Wodin-Schwartz, Sarah Jane
• Calli, Berk

Year

• 2024

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure
• 11 - Sustainable Cities and Communities

Date created

• 2024-04-23

Resource type

• Major Qualifying Project

Major

• Robotics Engineering
• Mechanical Engineering
• Computer Science

Source

• E-project-042324-161830

Rights statement

• In Copyright