Electrical Engineering (2nd)
These projects are at the endpoint of a two-semester sequence. They are functionally complete.
E2.01 Integrated Camera & Lighting System Optical Optimization
Sponsor: Toni Clark, NASA
Student Team: Logan Swayze, Ian Doege, Rex Davis, Zach Parker
Faculty Advisor: Mr. Mark Welker
This project is the design and the creation of an integrated camera and lighting system for the purpose of creating a high-quality image in a dynamic environment. This is achieved through the use of several independent spotlights and floodlights that are controlled by using processed imagery from the point of view of a camera. This will improve the quality of imagery by making increased consistency in lighting in the environment.
E2.02 ACTS Project
Sponsor: Non-Lethal Enterprises
Student Team: Thomas Fenn, Conner Tidwell, Evan Varen, Sergio Zambrano
Faculty Advisor: Mr. Jeffrey Stevens
We have been tasked with creating and characterizing an analog timing circuit for a non-lethal device that does not have to hit it's intended target, just get close. Our timing circuit will control the deployment of a payload from a projectile, either a deterrent (pepper spray) in the .68cal use case for self defense or an anti drone payload for the 40mm use case. The circuit does not have any batteries involved, it is completely powered by the energy harvested from the magnetic fields as it passes through the magnetic barrel, keeping from the issues that come from storing batteries.
E2.03 PCBInnovate
Sponsor: Ingram School of Engineering
Student Team: Deslynn Vasquez, Juan Castillo, Tanner Ivey, Joshua Reyes, Kennedy Namis
Faculty Advisor: Mr. Jeffrey Stevens
This project enhances the lab experience for EE3350 and EE4350 by creating ten custom printed circuit boards (PCBs) designed for various labs. The fully assembled printed circuit assemblies (PCAs) will include essential lab components, labeled test points, sockets, and five-way binding posts. These setups enable quicker lab transitions, optimizing space and resources. Durable designs reduce the need for fragile equipment replacements, cutting long-term maintenance costs. By simplifying setups, students can focus on understanding circuit behavior and its application to larger systems, rather than just building functional circuits.
E2.04 Urban Hotspots
Sponsor: Department of Health & Human Performance & Ingram School of Engineering
Student Team: Chandler Harrison, Eddie Armeriv, Adarsh Ram
Faculty Advisor: Mr. Jeffery Stevens
This project develops a portable environmental monitoring device designed to gather and analyze detailed data on urban heat distribution. By recording various environmental parameters such as temperature, humidity, and human activity, the device provides valuable insights for creating detailed heat maps. These maps are then used to inform and improve urban planning strategies, focusing on mitigating heat in vulnerable areas through targeted green space development and other heat reduction techniques.
E2.05 San Marcos Heat
Sponsor: Department of Health & Human Performance & Ingram School of Engineering
Student Team: Zachary Seaton, Corey Anderson, Matthew Lee, Bryan McCauley
Faculty Advisor: Mr. Jeffrey Stevens
Our project is a heat mapping device that collects data outside such as temperature, humidity, and location for people/businesses that wish to develop the area. The three most significant functions for this device consist of measuring the temperature/humidity, crowd mapping, along with having GPS tracking. These modules allow the microcontroller to collect data for future project purposes. This is important because having the sensor data and the location where the data was recorded allows the user to create a 2D geographic map of the data. A map is best for understanding where the hot spots are for noise, people, and temperature in the context of a city.
E2.06 NaviBot
Sponsor: Ingram School of Engineering
Student Team: Caleb Solis, Edna Vasquez, Matthew Ruiz, Phillip Hansen
Faculty Advisor: Mr. Mark Welker
NaviBots will be a pair of autonomous battery-powered robots capable of solving a maze using different solution methods. The first version, NaviBot v1, will display a wall follower technique capable of solving most simple mazes. The new model, NaviBot v2, will map the interior of the maze and utilize path finding algorithms to determine the fastest path possible. NaviBot v2 will then follow the solution path and complete the maze in the fastest time possible.
E2.07 King Aegeus
Sponsor: Ingram School of Engineering
Student Team: Marquayvin Humble-Gaines, Alejendro Cornejo, Alexander Hamilton, Justin Dees
Faculty Advisor: Mr. Mark Welker
Our project involves designing two autonomous, battery-powered robots that navigate and solve mazes using sensors to detect walls, calculate distance, and determine orientation. Built for competition and real-world applications, the robots avoid obstacles and optimize their performance with advanced algorithms. These fully functional robots demonstrate the potential for industrial use in exploration and navigation, solving complex mazes within five minutes.