Shulou(Shulou.com)11/24 Report--

CTOnews.com August 13, California Forestry and Fire Protection Department (Cal Fire) recently announced a new project, the use of artificial intelligence (AI) to detect forest fires. The project, developed in collaboration with the University of California, San Diego (UCSD), called Alert California AI, uses video signals from 1032 360-degree rotating cameras to "identify anomalies in camera images" through AI. Once a potential fire is detected, emergency services and other relevant departments will be notified to determine whether response measures are needed.

The project was launched in July and has successfully extinguished at least one fire that could start a fire, according to Reuters. It is reported that in the incident, a camera captured the first flames in the remote Cleveland National Forest (Cleveland National Forest) east of San Diego at 3 a.m. AI immediately discovered the fire and notified a fire chief, who summoned about 60 firefighters, including seven fire engines, two bulldozers, two water tankers and two work teams, and the fire was put out within 45 minutes.

A small portion of the 1032 real-time camera images used by Cal Fire show nine images of forests and deserts in different parts of California, according to the Alert California AI technology website, which uses lidar (LiDAR) scans from planes and drones to generate "three-dimensional information about the scanned surface." Combined with the physical characteristics of tree species, to understand the California forest biomass and carbon content. The machine learning (ML) model uses PB-level (1PB=1000TB) data from the camera to distinguish between smoke and other air particles, Cal Fire said.

The system was developed by UCSD engineers using AI provided by California company DigitalPath. Cal Fire has invested more than $20 million (CTOnews.com Note: currently about 145 million yuan) on the project over the past four years and has pledged to invest another $3.516 million (currently about 25.456 million yuan) in the near future.

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