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An Automatic Wildfire Detection System and Network

Presenter: Jordan Johnston

Co-Presenter(s):
Izac Cervantes Lazaro, Jacob Crispulo-Rojo

Presenter Status: Undergraduate student

Academic Year: 20-21

Semester: Spring

Faculty Mentor: Nansong Wu

Department: Engineering

Funding Source/Sponsor: Koret Scholars Program

President's Strategic Plan Goal: Sustainability and Environmental Inquiry, Adaptability and Responsiveness

Screenshot URL: https://drive.google.com/uc?id=1frRUaAKLETtcV7RJtYDVNdt2AXBv3XfK

Abstract:
Wildfires are a constant threat to millions of people and our local ecosystems, requiring constant and scalable monitoring methods. Current wildfire monitoring systems include numerous cameras looking over large areas of interest, but these cameras are only used to observe fires that have been found by emergency call-ins or other means. Our wildfire detection system and network will use devices with on-board artificial intelligence to detect fires as they happen. These detected images will be sent to a website, and displayed for the public and fire officials to view. Our tests show promise that this system can be scaled effectively in the future to monitor all kinds of wildfire-prone areas.