Computer Engineering

Team Name

Animaniacs

Team Members

David Samaniego
Sebastian Riojas
Ester Lee
Tailyr Mack

Abstract

Our Adaptive Home Automation System is a technology to improve overall home efficiency. We are devoted to create a system that can adapt and improve to a homeowner's lifestyle. By using a combination of hardware components and software, it tracks the homeowner's movements from one room into another. With every data of the homeowner's movement, our software will then be able to make choices on its own to create an environment that is at the homeowner's most convenience. The homeowner can also create their own lifestyle to their liking and override certain automation's.

Our system that interconnects all our hardware and software component is call the HUB. Our hardware includes many sensors to track the homeowner and the temperature of the house which are interconnected with an Arduino. Sensors will set off certain automation's according to the homeowner's movement between the rooms. Our Arduino then stores that data into our database and gather information on the homeowner's movement. That allows our system to turn his movement into a habit. More habits are then created and merged together as more information is gathered. We want to create a convenient and stress free environment that can enhance a healthier lifestyle.

Team Name

Work in Progress (WIP)

Team Members

Mitch Curran
Jarryd Shirley
Tyseanah Spell
Kiana Casebeer

Sponsor

Shannon Cain

Abstract

The Bobwhite Quail population is declining at an alarming rate, and researchers are having a difficult time finding the cause. In order to study the problem, researchers have put an avian RF transmitter on the birds to track them. Current prominent research techniques involve pedestrian data acquisition which is time consuming, contaminates the data, and can be extremely dangerous for researchers. We have been tasked with using a UAV to autonomously acquire the animal transmitter signal, and to use that to acquire GPS, visual, and temperature information in the vicinity of the quail.

Team Name

Deep Blue

Team Members

Tyler Toth
Christopher Romero
Luis Segura
Henry Flowers
Gobind Rauniyar

Sponsor

Dr. Hassan Takabi

Abstract

The purpose of this project is to design a system where a user can effectively fly a drone using simple thoughts. To decipher thoughts, EEG technology will be used to monitor electrical signals in the brain and translate them into meaningful information. This involves creating and designing a pathway for the brain to be able to communicate, control and fly a drone.

Team Name

BECK Teck

Team Members

Carlton Allred
Brendon Knapp
Edmund Sannda
Kyle Upton

Abstract

Project Muninn is an autonomous navigating, 3D mapping capable unmanned aerial vehicle (UAV). We have modified the Parrot- AR.Drone 2.0 with the Arduino Uno microcontroller to use LIDAR technology, in combination with proprietary and open source point cloud software, allowing it to autonomously navigate and map an indoor environment. The field of drone technology and autonomy is fast growing with a diverse range of applications. Autonomous UAV’s could be used by the police and defense industry to gain information about potentially dangerous environments. There is also great potential for architecture research and design, as well as commercial real estate applications.

Team Name

Banana

Team Members

Daniel Akintitan
Aaron Hardie
David Marquez
Jacquelyn Oquendo
Sammy Sirak

Abstract

Banana’s aim was to create an electric longboard that will safely transport a user from one destination to another. The board is ideal for travelling short distances (e.g. across a university campus) and is an alternative to driving or walking. Our goal is for the board to be able to travel up to 10 miles without recharging, and to reach speeds up to 10 miles per hour.

The longboard is powered by two 11.1V lipo batteries and an electric motor. We used an Arduino, a modified wii nunchuck and an electronic speed controller as a means for the user to control the speed of the board. Since the board is electric, it is an environmentally friendly choice for transportation.

Team Name

Enlightened

Team Members

Alex Adamcik
Maria Moreno
Matthew Davidson
Tara Thompson
Thomas Kanabay

Sponsor

Acculight USA

Abstract

Our client, Acculight USA, is a company which produces LED lighting solutions for commercial, residential and industrial applications. Acculight USA was looking to deploy their LED lamps as street lights worldwide. While they currently had high intensity LED lights, which were corrosion resistant and engineered to reduce heat, they wanted to offer a technologically advanced “smart street light” system that would reduce the problems of deploying lamps in that environment. In addition, they also wanted this system to deliver remote monitoring and control, maximize efficiency, and improve the ability for staff to identify failures and provide maintenance. We, the project group Enlightened, worked with Acculight USA to develop a system that provided these solutions, while incorporating their existing LED lamp models.

Our system is a prototype comprised of a Central Management Server (CMS) and four Smart Lights that communicate though Power Line Communication (PLC). The primary job of the CMS is to control and monitor the four Smart Lights and send out alerts regarding the status of the light when necessary.