follow the smoke — California deploys AI-powered wildfire detection systems New system scans over 1,000 cameras for signs of smokewith 77 hits so far.

Benj Edwards – Aug 24, 2023 9:50 pm UTC EnlargeGetty Images reader comments 34 with

California’s main firefighting agency, Cal Fire, is training AI models to detect visual signs of wildfires using a network of 1,039 high-definition cameras, reports The New York Times and the Los Angeles Times. When it sees signs of smoke, it quickly warns firefighters of emerging threats. During the pilot program, the system has already detected 77 wildfires before dispatch centers received 911 callsabout a 40 percent success rate, according to the NYT. Further ReadingWhats in wildfire smoke, and how dangerous is it?

Traditionally, Cal Fire detects emerging wildfires by relying on the same network of over 1,000 mountaintop cameras monitored by humans, who look out for signs of smoke. But it’s tedious and tiring work. Phillip SeLegue, the staff chief of intelligence for Cal Fire, told the NYT that the new AI system has not only improved response times but also identified some fires early, allowing those blazes to be tackled while still being a manageable size.

However, the technology is not without limitations. It can only detect fires that are visible to its network of cameras, and human intervention is still required to confirm the AI model’s alerts. Engineers from DigitalPath, the California-based company responsible for creating the software, have been manually vetting each fire the AI identifies. The process has been challenging, with many false positives from fog, haze, dust kicked up from tractors, and steam from geothermal plants, according to Ethan Higgins, a chief architect of the software. You wouldnt believe how many things look like smoke, Higgins told the NYT. Advertisement

Some experienced fire operators like Andrew Emerick, the duty chief for Cal Fires northern region, remain skeptical about the AI’s ability to understand the nuanced context in which certain fires occur, such as those deliberately set for agricultural purposes. “I dont think this robot is ever going to take my job,” he said.

The AI system processes “billions of megapixels” of images every minute from cameras that cover approximately 90 percent of California’s fire-prone areas. The AI program started in June and was initially deployed in six of Cal Fire’s command centers but will expand to all of Cal Fire’s 21 command centers in September. Further ReadingWildfire smoke from Australia fueled three-year super La Nia

Cal Fire also utilizes other fire detection methods, including 911 calls from residents and a partnership with the United States military, Fireguard, which uses classified spy satellites, drones, and other aircraft to detect fires. Even with early drawbacks like false positives, Neal Driscoll, a leader of the Cal Fire AI project, told the NYT that the AI program’s ultimate success will be measured by the fires that the public will never hear about, as they will be quickly extinguished while still small.

This year has been relatively less destructive in terms of wildfires, compared to previous years: Cal Fire reported 4,792 wildfires so far, which is lower than the five-year average of 5,422 for the summer months. Even so, that doesn’t make any wildfire less devastating when it spirals out of control. reader comments 34 with Benj Edwards Benj Edwards is an AI and Machine Learning Reporter for Ars Technica. In his free time, he writes and records music, collects vintage computers, and enjoys nature. He lives in Raleigh, NC. Advertisement Channel Ars Technica ← Previous story Next story → Related Stories Today on Ars