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Smart Monitoring of Environmental Dynamics Using Smart Cars and Drones
Project Introduction
Through the use of inbuilt smartphone sensors we hope to be able to collect data about the environmental dynamics in an area by securing the smartphone to a vehicle. The sensors, like the humidity and temperature sensor, would thus be able to procure real time data of the surroundings of the car, while the accelerometer and magnetometer would be able to collect data of the dynamics of the car itself, including its velocity and displacement. We will use Java in order to program the Android application and Python in order to receive and analyze the smartphone sensor readings in real time.
Applications
This project could have a variety of applications. First, it simplifies the testing process by using a smartphone, which is much more convenient than using Arduino exclusively. It could later be used to help support an indoor localization system to track objects, or people, in a closed space. Another usage case of this system could be to help search for and rescue missing people after a natural disaster, like a mudslide or avalanche.
Members
| Ryan Wang University of Texas at Dallas Class of 2022 | The Chen Hao Liu George Washington University Class of 2022 | Justin Wain The College of New Jersey Class of 2022 | Jeffrey Cheng Rutgers University Class of 2022 | David Yi Biotechnology High School Class of 2020 | Masha Mustafa McNair Academic High School Class of 2021 |
