San Diego (AFP) – When a wildfire erupted in the middle of a recent California night, it could have been a disaster.
But thanks to a new monitoring system that uses artificial intelligence to scan for danger, firefighters were able to quell the blaze long before it got out of hand.
“It was less than a quarter acre,” Captain Kris Yeary of Cal Fire told AFP.
“Had the AI not alerted us to it, it could have gotten much bigger.”
Yeary, who is responsible for organizing firefighting over an area that includes Mount Laguna, around 40 miles (65 kilometers) east of San Diego, sprang into action around 3am on August 5 after a call from colleagues at a command center.
Computers watching live feeds from the Cleveland National Forest spotted what their algorithm had been taught to understand was a column of smoke.
Human operators were able to verify the machines were correct and alerted Yeary, whose firefighters quickly extinguished the flames.
“It could have been a devastating fire,” he said.
Artificial intelligence is a rapidly developing field of computing that seeks to mimic human abilities to “think.”
Unlike a traditional computer, which can only produce answers based on the concrete information it has, AI can infer answers, using experience it has gained from similar problems it has seen before — similar to a human being.
Over the last few years, its application has spread to include areas as diverse as weather forecasting, stock-picking, art and journalism.
That has brought with it worries from people who fear it will do them out of their jobs — the writers’ and actors’ strike currently paralyzing Hollywood is in part about the use of AI in films and television.
But firefighters battling California’s wildfires say they will take all the help they can get.
“AI is just another tool for us,” said Yeary. “It’s never going to replace firefighters.”
California experiences thousands of fires every year, which torch hundreds of thousands — sometimes millions — of acres (hectares).
Over the last decade, blazes have claimed more than 200 lives, and destroyed thousands of homes and businesses, wreaking billions of dollars of damage.
For several years firefighters have used a network of more than 1,000 cameras to monitor possible fire hotspots.
Since the end of June, the ALERTCalifornia system has had AI computers “watching” these feeds, and flagging to human operators when they see wisps of smoke that could be a fire — with promising results.
“Our success metric is the fires you never hear about,” says Neal Driscoll, who heads the project for the University of California San Diego.
“We beat 911 calls about 40 percent of the time. And it’s going to get better.”
The addition of AI has meant each firefighter watching the dozens of feeds they are responsible for now has a helping hand.
When the software believes it detects smoke, it displays a small red rectangle on the screen, and offers a percentage indicating its degree of certainty.
It is then up to the operator to confirm the seriousness of the alert — and weed out any confusion.
Currently, the system can erroneously flag dust raised by tractors, insects in front of the camera or even a bit of fog.
“When a cloud will go over… it can cast a shadow on the ground and sometimes (the computer) can actually think that that’s possibly smoke,” says Suzann Leininger, an intelligence specialist at Cal Fire.
The feedback that experts like Leininger give — no, that’s just a bit of weather — is helping the AI to get better at what it does.
But even in its current state, it’s a boon.
“It’s getting us time to react in a faster manner,” says Leininger.
And when you’re talking about fire, time can be everything.
As California grapples with the effects of human-caused climate change, fires are becoming bigger and more destructive.
The state has experienced 18 of its 20 largest wildfires on record in the last two decades.
With terrifying blazes ripping through Europe, Canada and Hawaii this year, the devastating impact of the changing climate is becoming ever-more apparent worldwide.
“I think that as we see these devastations in other areas, like in Greece, and Maui, that systems like this that provide early confirmation will be a step in the right direction,” says Driscoll of UC San Diego.
Faced with the scale of the threat, the scientist has chosen to grant public access to the data on his platform, so that other companies or academics can work on it.
“We need to leverage all of our assets and work together, because extreme climate is bigger than any one of us.”