California Firefighters Are Training AI To Detect Wildfires (nytimes.com) 13
Firefighters are training a robot to scan the horizon for fires. It turns out a lot of things look like smoke. From a report: For years, firefighters in California have relied on a vast network of more than 1,000 mountaintop cameras to detect wildfires. Operators have stared into computer screens around the clock looking for wisps of smoke. This summer, with wildfire season well underway, California's main firefighting agency is trying a new approach: training an artificial intelligence program to do the work. The idea is to harness one of the state's great strengths -- expertise in A.I. -- and deploy it to prevent small fires from becoming the kinds of conflagrations that have killed scores of residents and destroyed thousands of homes in California over the past decade.
Officials involved in the pilot program say they are happy with early results. Around 40 percent of the time, the artificial intelligence software was able to alert firefighters of the presence of smoke before dispatch centers received 911 calls. "It has absolutely improved response times," said Phillip SeLegue, the staff chief of intelligence for the California Department of Forestry and Fire Protection, the state's main firefighting agency better known as Cal Fire. In about two dozen cases, Mr. SeLegue said, the A.I. identified fires that the agency never received 911 calls for. The fires were extinguished when they were still small and manageable.
After an exceptionally wet winter, California's fire season has not been as destructive -- so far -- as in previous years. Cal Fire counts 4,792 wildfires so far this year, lower than the five-year average of 5,422 for this time of year. Perhaps more important, the number of acres burned this year has been only one-fifth of the five-year average of 812,068 acres. The A.I. pilot program, which began in late June and covered six of Cal Fire's command centers, will be rolled out to all 21 command centers starting in September. But the program's apparent success comes with caveats. The system can detect fires only visible to the cameras. And at this stage, humans are still needed to make sure the A.I. program is properly identifying smoke. Engineers for the company that created the software, DigitalPath, based in Chico, Calif., are monitoring the system day and night, and manually vetting every incident that the A.I. identifies as fire.
Officials involved in the pilot program say they are happy with early results. Around 40 percent of the time, the artificial intelligence software was able to alert firefighters of the presence of smoke before dispatch centers received 911 calls. "It has absolutely improved response times," said Phillip SeLegue, the staff chief of intelligence for the California Department of Forestry and Fire Protection, the state's main firefighting agency better known as Cal Fire. In about two dozen cases, Mr. SeLegue said, the A.I. identified fires that the agency never received 911 calls for. The fires were extinguished when they were still small and manageable.
After an exceptionally wet winter, California's fire season has not been as destructive -- so far -- as in previous years. Cal Fire counts 4,792 wildfires so far this year, lower than the five-year average of 5,422 for this time of year. Perhaps more important, the number of acres burned this year has been only one-fifth of the five-year average of 812,068 acres. The A.I. pilot program, which began in late June and covered six of Cal Fire's command centers, will be rolled out to all 21 command centers starting in September. But the program's apparent success comes with caveats. The system can detect fires only visible to the cameras. And at this stage, humans are still needed to make sure the A.I. program is properly identifying smoke. Engineers for the company that created the software, DigitalPath, based in Chico, Calif., are monitoring the system day and night, and manually vetting every incident that the A.I. identifies as fire.
Learn about the project from inception (Score:3)
Hmm (Score:2)
Re: (Score:3)
Re: Hmm (Score:2)
https://opg.optica.org/ao/abst... [optica.org]
Re: Hmm (Score:2)
https://opg.optica.org/ao/abst... [optica.org]
Re: (Score:2)
Way back in the day, they actually used to pay people to sit inside strategically placed steel towers and scan the horizon for smoke. In fact, many old firetowers are still hiking destinations because they are often on mountaintops.
Re: (Score:2)
"thermal surveillance by satellite"
That sounds like pretty cool tech, but...
1. Is that a thing available to firefighters?
2. Is it sensitive and precise enough to detect fires?
3. Is this real time? (a 24 hour delay isn't helpful)
4. Does this work through clouds/rain/snow/fog/smoke?
5. How large a fire needs to exist to be detected?
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More drones in vulnerable places (Score:2)
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Just because you can automate something doesn't mean you should.
ripe for hype (Score:2)
"Firefighters" are not known for the their computer science PhD chops. What they are known for is their naivete and following of fads.
The question here is going to be the false positive and false negative rates, both of which incur costs.