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Spotting Wildfires with AI
Aug 31, 2023
Sonia Kastner, founder and CEO of Pano, discusses using data and machine learning to detect and locate wildfires. The podcast explores the challenges of training AI models with smoke-like scenarios and the high costs of running AI experiments. It also highlights the importance of data in disaster management and supply chains.
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Quick takeaways
- Pano AI uses cameras mounted on mountaintop towers and an AI model trained to detect smoke to provide early alerts to fire crews, mitigating the damage caused by wildfires.
- Developing an efficient AI model to detect smoke has been challenging for Pano due to the rarity of wildfires and the presence of other smoke-like elements, requiring extensive training and experimentation to improve accuracy.
Deep dives
Pano AI: Using Data to Mitigate Natural Disasters
Pano AI is a company that aims to mitigate the damage caused by natural disasters, starting with wildfires. By mounting cameras on remote mountaintop towers, Pano sends panoramic images to an AI model trained to detect smoke. This early detection system alerts fire crews, allowing them to respond quickly and prevent fires from spreading. Pano's customers include utility companies and firefighting agencies across the Western US and Australia. The company's mission extends beyond wildfires, seeking to use data to mitigate various climate-driven disasters like floods, hurricanes, and more.
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