96. proactive fire tracking in san diego county

Department: Computer Science & Engineering
Faculty Advisor(s): Tajana S. Rosing
Award(s): Department Best Poster

Primary Student
Name: Michael Ostertag
Email: mosterta@eng.ucsd.edu
Phone: 858-534-4868
Grad Year: 2018

Student Collaborators
Sean Grady, sgrady@eng.ucsd.edu | Nima Mousavi, nimousav@eng.ucsd.edu | Chris Taylor, c4nelson@eng.ucsd.edu

Many fires strike remote areas where satellite images (e.g. MODUS) or local optics are the only methods to survey them. Intermittent satellite imagery is ineffective for determining real-time conditions, forcing responders to risk being unaware of changes in wildfire dynamics. This may result in inadequate strategies to combat the fire. Improved information about location and spread of fires enables first responders to effectively and safely react. By integrating modern advancements in aerial drones, low-powered chemical sensors, and long-range wireless communication, these challenges may be overcome. A prototype constructed using a mobile, modular air quality analyzer monitors for NO2, CO, O3, CO2, VOCs, temperature, pressure, and humidity. The sensors are mounted atop a quadcopter controlled by a Raspberry Pi that communicates wirelessly via Wi-Fi and Bluetooth. Both air quality and Wi-Fi-connectivity data are stored with timestamps and GPS locations for analysis.

Industry Application Area(s)
Aerospace, Defense, Security | Electronics/Photonics | Internet, Networking, Systems

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