California deploys AI to detect wildfires before they start spreading - Best News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aitesonics.com\/california-deploys-ai-to-detect-wildfires-before-they-start-spreading-194535845\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"California deploys AI to detect wildfires before they start spreading - Best News\" \/>\n<meta property=\"og:description\" content=\"AI and climate change represent two ways humans may ravage life as we know it on Earth, but the former can also help with the consequences of the latter. The California Department of Forestry and Fire Protection (Cal Fire) revealed a new program today that uses AI to detect wildfires. 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{"id":4480,"date":"2024-04-13T11:11:38","date_gmt":"2024-04-13T11:11:38","guid":{"rendered":"https:\/\/aitesonics.com\/california-deploys-ai-to-detect-wildfires-before-they-start-spreading-194535845\/"},"modified":"2024-04-13T11:11:38","modified_gmt":"2024-04-13T11:11:38","slug":"california-deploys-ai-to-detect-wildfires-before-they-start-spreading-194535845","status":"publish","type":"post","link":"https:\/\/aitesonics.com\/california-deploys-ai-to-detect-wildfires-before-they-start-spreading-194535845\/","title":{"rendered":"California deploys AI to detect wildfires before they start spreading"},"content":{"rendered":"

AI and climate change represent two ways humans may ravage life as we know it<\/a> on Earth, but the former can also help with the consequences of the latter. The California Department of Forestry and Fire Protection (Cal Fire) revealed<\/a> a new program today that uses AI to detect wildfires. Created in partnership with the University of California San Diego, the Alert California AI program takes feeds from 1,032 360-degree rotating cameras and uses AI to \u201cidentify abnormalities within the camera feeds.\u201d It then notifies emergency services and other authorities to check if a potential blaze warrants a response.<\/p>\n

The program, launched in July, has already quelled at least one potential wildfire, according to<\/a> Reuters<\/em>. A camera reportedly recorded a fledgling fire burning at 3 am in the remote Cleveland National Forest east of San Diego. The AI spotted the inferno and alerted a fire captain \u201cwho called in about 60 firefighters including seven engines, two bulldozers, two water tankers and two hand crews.\u201d Cal Fire says the flames were extinguished within 45 minutes.<\/p>\n

The Alert California technology website<\/a> says it uses LiDAR scans taken from airplanes and drones to create \u201cequally precise, three-dimensional information about scanned surfaces.\u201d It combines this with the physical traits of tree species to learn more about California\u2019s forest biomass and carbon content. Cal Fire says the ML model leverages petabytes of data from the cameras to differentiate between smoke and other airborne particles.<\/p>\n

The system was developed by UCSD engineers using AI from the California-based company DigitalPath. Cal Fire has invested over $20 million in the program over the past four years and promises an additional $3,516,000 in the near future.<\/p>\n

\u201cWe\u2019re in extreme climate right now. So we give them the data, because this problem is bigger than all of us,\u201d Neal Driscoll, geology and geophysics professor at UCSD who serves as the program\u2019s principal investigator, told Reuters<\/em>. \u201cWe need to use technology to help move the needle, even if it\u2019s a little bit.\u201d However, Driscoll adds that the current sample size is too small to determine the program\u2019s overall effectiveness.<\/p>\n

You can check out Alert California\u2019s \u201ccamera quilt\u201d<\/a> on your computer or mobile device. The website displays a grid of the remotely operated live camera views from across the region.<\/p>\n","protected":false},"excerpt":{"rendered":"