Fall 2023

Fall 2023 Muhammad Rashid Best Project Award winners.

Fall 2023 First Place

Pulsed LED Medical Goggles

Team Members
Sierra Kautz, Mark Yepishin, Judy Aquino, Dustin Tran

Mentors
Dr. Mohamed Khabou, Dr. James Arruda, Dr. Aaron Wade

Abstract

Alzheimer’s is an aggressive disease that impedes mental capacity and measurably affects visual processing. With no cure, the only solution is treatment of the symptoms, and early detection is paramount to prolonged quality of life. In a collaboration between the ECE, Psychology, and Physics departments, we designed a system to aid in the early detection of Alzheimer’s. The Pulsed LED Medical Goggles have four LEDs of different wavelengths, targeting the three cones and the rods in the human eye. The system takes user input from an accompanying touchscreen display and then strobes the LEDs in the goggles with the desired combination of intensities for each wavelength. The user interface allows for each color LED to be flashed individually at full power or to set the intensities and begin a single or double pulse test in which an EEG is used to measure a patient’s brain response. This system improves upon a previous device that could only flash white light at a single intensity. Our device addresses the previous design’s shortcomings in using color-blind individuals. By utilizing the four different wavelengths of light, we can now tailor the tests to each patient to obtain the best brain response on the EEG. The Pulsed LED Medical Goggles are designed to become a new diagnostic tool for the early detection of Alzheimer’s, especially in color-blind patients.

Fall 2023 Second Place #1

Precision Localization System Using UWF Radio Technology: Autonomous Mower

Team Members
Natalia De Jesus, Tyler Murray, and Malcolm Jones

Mentor
Dr. Bassam Shaer

Abstract
Over the Spring and Fall semesters of 2023, the team set out to design and produce an autonomous mowing robot, giving time back to the consumer that would otherwise be spent maintaining the height of their residential or commercial lawn. The unit remains conveniently docked in its docking station while not in operation. While the unit runs, it utilizes induction sensors to navigate within its set variable boundary and a bumper system to avoid obstacles. An emergency kill switch is included for emergency shutdown. All systems operate on the researchable 36V battery, easily connected to a standard household 120V outlet, resulting in easy integration into the residence.

Fall 2023 Second Place #2

Project Diavolt: Electric Motorcycle Retrofit

Team Members
Grant Morris, Jimmy Dwyer, Dawson Rodriguez

Mentor
Dr. Maher Amer

Abstract
Project Diavolt aims to reach the goal of creating a replicable motorcycle conversion kit that could allow existing motorcycles to be converted to electric propulsion while still retaining the engaging familiarity of a traditional combustion motorcycle. Our first prototype far exceeded expectations for the 3KW motor mated to its casing. This prototype was capable of both outstanding acceleration and low-speed torque, as well as a GPS-tracked top speed of 40mph, thanks to its pre-existing 5-speed transmission. Our results deliver a familiar yet exhilarating experience for new and experienced riders. This conversion kit provides an affordable, efficient, and unique solution to the increasing need for electric vehicles in the world today.