Catch It Before It Spreads: The Future of Wildfire Detection with LoRaWAN

Vasya Tremsin, the founder and CEO of Torch Sensors, joins us to discuss the groundbreaking use of LoRaWAN technology in wildfire detection. His company has developed solar-powered smart sensors that can identify heat, smoke, and gas, alerting us to fires within just three minutes of ignition. Vasya's journey began as a high school science fair project, sparked by witnessing the devastating impact of wildfires in his community. As we chat, he shares how Torch Sensors has rapidly evolved from a student project to a startup deploying sensors in high-risk areas across California, aiming to prevent wildfires before they escalate. This conversation is packed with insights on the intersection of technology and environmental safety, and how we can protect our communities from the ever-present threat of wildfires.

Takeaways:

• Vasya Tremsin's journey from a high school science project to founding Torch Sensors showcases how innovative ideas can evolve into impactful companies.
• Torch Sensors utilizes LoRaWAN technology to detect wildfires early, often within three minutes of ignition, potentially saving lives and property.
• The sensors deployed by Torch are solar-powered, multi-modal devices capable of detecting heat, smoke, and gas over an area of 10 acres each.
• The devastating LA fires of 2025 spurred Torch into action, leading to rapid sensor deployment in critical areas to enhance wildfire detection capabilities.
• Torch Sensors aims to provide hyperlocal fire detection solutions, prioritizing high-value assets and communities in wildfire-prone regions.
• The business model of Torch includes both hardware costs and subscription services, emphasizing the value of early fire detection for customers.

Links referenced in this episode:

• torchsensors.com
• console.meteoscientific.com
• metsci.show

Companies mentioned in this episode:

• Torch Sensors
• Helium
• Intel International Science Fair
• UC Berkeley
• IoT Working Group
• Helium Foundation
• Meteoscientific

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