AI Cameras are Being Deployed Across the Western US for Early Detection of Wildfires

Source: Slashdot

Early Detection Example

On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona’s Coconino National Forest. Human analysts verified it wasn’t a cloud or dust, then alerted the state’s forest service and the largest electric utility. One of dozens of AI cameras installed for the utility Arizona Public Service had spotted early signs of what became known as the Diamond Fire. Firefighters raced to the scene and contained the blaze before it grew past 7 acres (2.8 hectares).

Expansion of AI Camera Networks

• Arizona Public Service: nearly 40 active AI smoke‑detection cameras, with a goal of 71 by summer’s end.
• Arizona state fire agency: has deployed seven AI cameras of its own.
• Xcel Energy (Colorado): has installed 126 cameras and aims to have cameras in seven of the eight states it serves by year’s end.
• ALERTCalifornia: a network of approximately 1,240 AI‑enabled cameras across California, operating similarly to the Arizona system.

As record‑breaking heat and a depleted snowpack raise concerns about severe wildfires, states across the fire‑prone West are adding AI to their wildfire‑detection toolbox, banking on the technology to help save lives and property.

Companies and Technologies

• Pano AI: combines high‑definition camera feeds, satellite data, and AI monitoring. Since its 2020 launch, its cameras have been deployed in Australia, Canada, and 17 U.S. states, including Oregon, Washington, and Texas.
• In the United States, Pano AI’s technology detected 725 wildfires last year, according to the company.
• Cindy Kobold, an Arizona Public Service meteorologist, noted that the technology notifies them about 45 minutes faster on average than the first 911 call.