Date of Award
Spring 2020
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2020.
Departments
Computer Science and Engineering; Mechanical Engineering
First Advisor
Christopher Kitts
Abstract
Recent population and wage increases have forced farmers to grow more food without a proportionate increase in work force. Automation is a key factor in reducing cost and increasing efficiency. In this paper, we explore our automation solution that utilizes position manipulation and vision processing to identify, pick up, and drop a leaf into a can. Two stepper motors and a linear actuator drove the three-dimensional actuation. Leaf and can recognition were accomplished through edge detection and machine learning algorithms. Testing proved subsystem-level functionality and proof of concept of a delicate autonomous pick-and-place robot.
Recommended Citation
Soong, Andrew; Nelson, Chris; Goldsberry, John; Suzuki, Kalle; Abenoja, Nikolas; Victor, Sherene; and Liu, Simon, "Basil Leaf Automation" (2020). Interdisciplinary Design Senior Theses. 61.
https://scholarcommons.scu.edu/idp_senior/61