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Smart Cities. Smart State. Texas State.

Texas State University Innovation Lab
@ Smart Cities Connect Conference
June 26-27, 2017
Austin Convention Center

An exclusive look at game-changing technology created by our inspired student inventors, the lab features how our corporate partners are helping to take these new ideas to the marketplace. From biometric authentication and smart devices to rainfall detection and smart irrigation, Texas State student research is solving real-world problems.

Smart Cities Connect Conference
Innovation Lab at Smart Cities Connect Conference GALLERY

Solar car Innovation Lab    Presenting Teams

     American Solar Car Challenge

     College of Science and Engineering
     Ingram School of Engineering
 Team Mentor: Nathan England
 Team Members: Joshua Brown, Deborah Williams

Texas State University Electrical Engineering students have launched the creation of a solar-powered car. Team members have designed the power integration system, as well as the electrical system for the solar car. The onboard systems will monitor the power production of the solar cells, power consumption and charging of the main battery & 120-volt backup battery, and the motor temperature. Also included in the project is a battery charging unit that can use a conventional 120-volt outlet.

Biometric Authentication

Biometric Authentication and Eye Fatigue Detection Using Eye Movements

College of Science and Engineering
Department of Computer Science
Team Mentor: Dr. Oleg Komogortsev
Team Member: Dillon Lohr

The team’s advanced sensor tracks the user’s unique eye movements to provide better digital security than passwords or even fingerprint IDs. Eye movements can also be used to measure fatigue and tell users when to take a break from a video game or warn a driver that it’s time to pull over.

Commute ReLeaf  Commute ReLeaf

 McCoy College of Business Administration
 Department of Finance & Economics
 Team Mentor: Dr. Janet Hale
 Team Member: Michael Austin Andrus

This team aims to establish a connection in commuting and traffic tying it to drivers’ bank accounts and the environment. Armed with a commuting database and maps, the calculation tool hits drivers with the true cost of commuting to and from work with individual cars and could convince more people to seek alternate modes of transportation such as Wi-Fi-equipped buses, and businesses could invest in a small fleet of cars for employees. The impact is limitless.

Gridmates Gridmates

College of Science and Engineering
Ingram School of Engineering
Team Mentor: Dr. George Koutitas
Team Members: Gail Webb, Alex King

The world's first Internet platform to end energy poverty. Anyone can donate energy to help improve the lives of people who cannot afford to pay for heating, cooling, lighting, cooking, etc. About 48 million people in the United States suffer from energy poverty. Gridmates allows everyone to be on the same grid and help one another.

Weather map  Internet of Things and Smart Devices

  College of Science and Engineering
  Ingram School of Engineering
  Team Mentors: Dr. George Koutitas and Dr. Stan McClellan
  Team Member: Jeschel Jabez Sugumar Sunthar Jesudian

A network of virtual reality and computing devices for smarter infrastructure. Two projects showcase IoT systems of computing devices with unique identifiers and the ability to transfer data over a network: 1) The portable and battery-operated Smart Weather Station can easily monitor microclimate conditions in a city, rural area, or an indoor environment using wireless transmission techniques. 2) A second project focuses on Finding a Stolen Vehicle by combining sensors, GPS locators, and other smart devices wirelessly through data and telecom infrastructure.

Rainfall detectionRainfall Detection

College of Science and Engineering
Ingram School of Engineering
Team Mentor: Dr. Rich Compeau
Team Members: Matthew Presley, Jason Castillo, Mason Hagen, Matthew Hughes

This remote monitoring system presents an automated method to accurately monitor rainfall and water discharge from an industrial property. Microcontrollers are used to automate sample collection and log the data into the cloud. Sensors detect rainfall duration and amount, the level of a retention pond, as well as the instance water discharges into a secondary tank or outfall pipe.

Smart Irirgation

  Smart Irrigation

  College of Science and Engineering
  Ingram School of Engineering
Team Mentors: Dr. William Stapleton, Dr. Rich Compeau
Team Members: Ryan Samuel, Jordan Bice, Matthew De Leon

This project involves the design and prototype construction of a residential irrigation system capable of minimizing water loss from leaks. Using MEMS microphone sensors, the system will monitor the flow of water through irrigation lines to determine if a leak from a broken pipe or sprinkler head is present. When a leak is detected, a controlled valve will shut off water to the irrigation system, preventing further loss. The Smart Irrigation System will also notify the homeowner when a leak has been detected so they can begin repairing the damage.

Texas Education AtlasTexas Education Atlas

College of Liberal Arts
Department of Geography
Team Mentor: Dr. Lawrence Estaville
Team Members: Mark Deka, Kanika Verma

The atlas is a comprehensive, interactive, web-based research and learning tool, compiling data from every Texas school district and public and private university in Texas, with tools to suit K-12 students as well as policymakers, researchers and journalists.