Colorado lawmakers look to AI to detect wildfires earlier
A year after the most destructive wildfire in the state's history scorched nearly 1,100 homes, Colorado lawmakers are considering joining other Western states by adopting artificial intelligence in the hopes of detecting blazes before they burn out of control.
A proposal that legislators will discuss in a hearing Thursday would create a $2 million pilot program to mount cameras on mountaintops in high-risk locations. An artificial intelligence program developed by a private company would analyze the images and sounds from cameras with 10-mile (about 16-kilometer) radiuses with the aim of detecting something that could signal the start of a blaze.
It is part of an ongoing effort by firefighters to use new technology to become smarter about how they prepare and better position their resources. Fire lookout towers once staffed by humans have largely been replaced by cameras in remote areas, many of them in high-definition and armed with artificial intelligence to discern a smoke plume from morning fog.
There are hundreds of such cameras scattered across California, Nevada and Oregon, and even casual viewers can remotely watch wildfires in real time.
A historic drought and recent heat waves tied to climate change have made wildfires harder to fight in the American West and scientists say warming weather will continue to make fires more frequent and destructive. Record-breaking storms that drenched California with more than 11 inches of rain in recent weeks and big snow dumps in other states have improved conditions in the short-term, but the drought persists across most of Nevada, California and Utah, and large areas of other Western states, according to a Tuesday report from the National Oceanic and Atmospheric Administration.
The goal of the Colorado program would be for cameras and an AI algorithm to detect a plume of smoke and alert first responders who can stomp out the blaze before it grows, said Don Coram, a former Republican Colorado state senator who first backed the idea and encouraged this year's sponsor, Rep. Cleave Simpson, a Republican and rancher.
“Once these fires get into cresting in the tree tops, it’s going to take a lot of resources, a lot of manpower, and a lot of good luck to knock them down," Coram said.
Thursday's hearing will include testimony from a AI wildfire detection company called Pano AI. The company began working with cities, including the ski resort town of Aspen, Colorado, and has expanded to cities and counties in six states. Their stations include two cameras mounted on a high vantage point, rotating at 360 degrees and connected to the company's AI software. Each station costs roughly $50,000 every year.
Arvind Satyam, the chief commercial officer at Pano AI, said that the artificial intelligence uses a data set of over 300 million images that teaches it what is smoke from a fire and what isn’t.
Once a camera signals that there could be a fire, the photos and information are run through the company’s intelligence center for human vetting — the algorithm could’ve mistaken a tractor’s dust cloud or even geyser for a smoke plume — before it’s sent along to fire agencies, he said.
David Blankinship, senior technology advisor for the Western Fire Chiefs Association, said fire agencies have come to rely on this type of detection technology, especially in California where the programs have been put to wider use.
"It loops around in a 360 all the time and searching for pixel changes that the human eye might not detect," said Blankinship, adding that “anything you can do to take time out of the response to that fire saves lives."
Still, Blankinship noted that “these cameras, even with AI, are only one component of the actual solution that is working."
That solution includes civilians calling in fires, other equipment such as smoke sensors, aircrafts that gather detailed information by flying over the burns, and even satellites providing broader information on a burn's size, Blankinship said.
All those systems, including cameras fitted with AI, allow fire authorities to model a wildfire and consequently better make difficult decisions about where and when to evacuate, how many engines to dedicated to a certain fire, or if burns should be extinguished at all.
To Coram, who will be attending the hearing on Thursday, the bill “just makes too much sense not to do.”
“I look around at all the rooftops that I can see, and think, ‘My god, when this catches on fire, what are we going to do?’” said Coram.
Jesse Bedayn is a corps member for the Associated Press/Report for America Statehouse News Initiative. Report for America is a nonprofit national service program that places journalists in local newsrooms to report on undercovered issues.