Date of Award

Spring 2021

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2021.

Department

Electrical and Computer Engineering

First Advisor

Andrew Wolfe

Abstract

With the unfathomable number of medications that are available today due to medicinal advancements, there is room for error in the distribution of such medication even within proper pharmaceutical settings. Our primary goal is to reduce the overall contribution of a wide range of human errors in the dispersion of medication which is found to be an extremely large industry in today's age while doing so in a cost effective manner. This is to be executed first using a robotic arm, to automate and create mobility, and second, including image verification, to classify and select pills based on certain characteristics. Through the incorporation of mixed-dose packaging, this product will generalize this service to larger markets such as hospitals and pharmacies that are otherwise only provided to individuals by third parties at an extra cost. Within our time frame, we have obtained successful dispensing for a preliminary set of pills based on color, size, and shape.

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