AI Camera Networks Deployed Across 17 US States for Wildfire Early Detection — Pano AI Detected 725 Fires Last Year

An AP-distributed investigation published May 4, 2026 documented large-scale operational deployment of AI wildfire detection systems across 17 US states and internationally in Australia and Canada. Two primary systems are in active use: Pano AI (a commercial platform with ~$50,000/camera/year cost), which uses panoramic cameras with AI vision to spot smoke plumes; and ALERTCalifornia, UC San Diego's network of 1,240 AI-enabled cameras deployed statewide. Key operational benchmarks: Arizona Public Service operates approximately 40 cameras with plans for 71 by summer 2026; Xcel Energy has 126 cameras across its territory in Colorado and New Mexico; Pano AI detected 725 wildfires in the US in 2025, with AI notifications arriving approximately 45 minutes faster than traditional 911 calls. In a documented operational success, AI cameras detected the Diamond Fire in Arizona's Coconino National Forest in March 2026 — firefighters were able to contain it before it reached 7 acres. The scale of deployment represents a significant operational shift: AI is now standard wildfire detection infrastructure for major utilities across the fire-prone American West, representing the most extensive real-world deployment of AI disaster-response systems in US history.