College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

College - Author 2

College of Engineering

Department - Author 2

Electrical Engineering Department

Degree - Author 2

BS in Electrical Engineering

College - Author 3

College of Engineering

Department - Author 3

Electrical Engineering Department

Degree - Author 3

BS in Electrical Engineering

Date

6-2021

Primary Advisor

Andrew Danowitz, College of Engineering, Electrical Engineering Department

Abstract/Summary

With climate change causing an increase in temperature over the past several decades, wildfires have been burning hotter and moving quicker leaving a trail of destruction in their path. Detecting a wildfire early allows firefighters to respond efficiently and effectively to ensure containment. With the rise of advanced computer vision and algorithms, autonomous systems can be used to monitor and report any fire activity. Having multiple devices spread out across a large area will allow first responders to map out the fire location and track the fire. By utilizing smart technologies, property damage can be minimized and residents living in fire prone areas can be evacuated earlier. The wildfire early detection system (WEDS) is a low-powered, low-cost (in both manufacturing and maintenance), easily deployable unit that can be mass-produced. The goal is to produce large volumes of this product to cover as much acreage in forests as possible. In a given area, multiple devices would report to one control center. Ideally, users would deploy these units in dense forests as this is where fires are harder to control and detect. Onboard sensors and cameras will detect heat signatures, and smoke particles to determine if a wildfire is present. To keep long-lasting, LiPo batteries supported by solar cells are required to power it. Keeping these devices small and portable will allow for wider distribution, increasing the area covered.

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