Firefighting Technology for Safer Communities
Autonomous Data Collection and Machine Learning for Improved Response
ABOUT THE PROJECT
Sponsor:
THRC's Community Health and Economic Resilience Research (CHERR) Center of Excellence
PI:
Dr. Damian Valles
Research Pillar(s):
This project involves the design and development of an advanced AI system of autonomous units, including rovers and drones, to assist first responders in navigating fires in buildings by detecting heat signatures, human screams, and toxic gases.
By leveraging the power of machine learning and AI, this research aims to increase rescue efficiency, ensure firefighter safety, and support better decision-making during emergency responses. The project contributes to the health+resilience of first responders and the public, because healthy first responders are critical to maintaining healthy communities.