Episode 275: Using IoT and AI for Fire Detection with Rob Vernon

Episode • May 22 • 10m

Let’s talk about the importance of measuring what matters in the fight against climate change…

Hello Smart Firefighting Community!

Welcome to another episode of covering real world innovations via interviews with fire service and technology industry experts that empower YOU to develop your very own Smart Firefighting strategy!

In this episode:

Leveraging IoT, computer vision, and AI for wildfire detection
How data aggregation helps first responders with real-time detection and triage
Discover the goals of the XPRIZE wildfire competition and how it aims to revolutionize fire response

Hear from Rob Vernon - the CEO of Indicium Dynamics.

Rob shares insights into their participation in the XPRIZE wildfire competition, focusing on innovative approaches to fire detection and response. Working alongside a team of partners, Indicinium uses IoT, computer vision, and AI to aggregate and analyze data, providing high-quality detection and triage services to first responders. Rob discusses their plans to have operational services using drones for situational awareness by Christmas, with a key milestone set for March.

The XPRIZE competition emphasizes both rapid detection and automated response to fires, aiming to transform how wildfire incidents are managed. Throughout the conversation, Rob stresses the importance of "measuring what matters" in tackling climate change and using data effectively.

So take a listen to hear what he has to share!

Episode Resources:

AFAC25 Conference

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