Kodama Sensors

2027 · 2027 Competition

School: School of Engineering
Categories: Community ImpactPrimary Interdisciplinary

Project Overview

One Liner: Early Wildfire Detection Device

Abstract

Wildfires cost the US upwards of $800 billion annually, emit over 6 billion tons of carbon dioxide every year and bring devastation to communities. Due to increasing population and decades of inaccurate fire suppression approaches, fire seasons are becoming longer, deadlier and more likely. Wildfires often go undetected, spreading beyond control, endangering lives and incurring costly damages. Detection time is critical for a quick response time. Current detection systems, such as satellites, aircraft imaging, and camera networks, are unable to consistently detect early-stage fires. Detection gaps arise from resolution limitations, poor visibility, and delays in reception. While newer fire sensing devices are beginning to be implemented throughout forests for early detection, no device comprehensively combines early combustion sensing with fire-weather monitoring or dual CO and particulate matter detection to minimize false alarms. Kodama Sensors aims to address this gap by creating a compact, durable fire-detection device integrating multiple sensor types into one all-inclusive device with forced airflow. Our device will reliably operate in remote environments, minimize false alarms, provide high-quality fire-weather risk assessment, and transmit alerts from isolated regions as early as possible. By including temperature, humidity, gas, and particulate matter sensors, as well as integrating external wind data, we aim to expand the capabilities of wildfire detection. We will ensure continuous and long-lasting performance in remote and harsh outdoor environments with a durable, weather resistant enclosure and low power requirements. Kodama Sensors will reduce ignition-to-detection time, enabling faster emergency responses with improved reliability.

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Team Members

Ellen McCallin
Lead
Aboubakare Diaby
Joey Choi
Cody Walsh
Elliot Lee

Advisors

Moses Noh