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ALERTCalifornia Wildfire Cameras Enhanced with Artificial Intelligence

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The user interface for the ALERTCalifornia camera on Antelope Peak, overlooking Susanville and the Honey Lake Valley

The California Department of Forestry and Fire Protection has announced a groundbreaking partnership with University of California San Diego’s ALERTCalifornia program.

With the shared goal of improving firefighting capabilities and response times, Cal-FIRE and ALERTCalifornia will embark on an innovative Artificial Intelligence implementation trial in collaboration with the San Bernardino Unit, Sonoma-Lake-Napa Unit, Madera-Mariposa-Merced Unit, Nevada Yuba Placer Unit, Shasta-Trinity Unit, and San Luis Obispo Unit.

At the heart of ALERTCalifornia’s cutting-edge technology are its 1,032 high-definition, pan-tilt-zoom cameras strategically deployed throughout California. These cameras, including the 199 sponsored by Cal-FIRE, create a 24-hour surveillance network equipped with near-infrared night vision, enabling efficient monitoring of active wildfires and other disasters.

With remarkable capabilities, ALERTCalifornia cameras can perform 360-degree sweeps approximately every two minutes, providing clear visuals of up to 60 miles on a clear day and an impressive 120 miles on a clear night.

Visit the ALERTCalifornia website and explore their “camera quilt” to access live
camera feeds and detailed network information.

You can click here to see a feed from the ALERTCalifornia camera on Antelope Peak north of Susanville.

One of the key innovations being introduced through this partnership is an advanced AI tool developed by ALERTCalifornia. This groundbreaking tool is designed to identify abnormalities within the camera feeds, promptly notifying Emergency Command Centers and First Responders of any significant changes that may require further investigation.

Limited to authorized and trained ECCs and First Responder users, this AI tool utilizes state-of-the-art anomaly detection techniques, which are particularly challenging to implement effectively. By leveraging the vast petabytes of data recorded by the cameras a machine-learned model has been created to accurately differentiate between smoke and other particles in the air.

Cal-FIRE’s significant investment in the ALERTCalifornia program has totaled $20,277,000 over the past four years, and the commitment will continue with an additional funding of $3,516,000 in the coming years. This collaboration with UC San Diego has proven highly successful, as technology advancements are shared as open-source and freely accessible resources to benefit a broader range of users.

The AI implementation trial aims to unlock the immense potential of AI technology in wildfire prevention, detection, and response.

By harnessing the power of AI, the organization has the opportunity to revolutionize firefighting strategies by analyzing vast amounts of data, predicting fire behavior, and providing real-time insights to firefighters on the ground.

The ALERTCalifornia platform will ensure the development of an exceptional tool, making it accessible to all First Responders across California.

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