AI to help detect forest fires in E Kazakhstan

East Kazakhstan is deploying an AI-powered early wildfire detection system across nine forestry enterprises, installing 90 antenna-mast complexes with cameras and automated image analysis to automatically detect smoke and alert dispatch centers. The system, funded with 14 billion tenge from the regional budget, aims to reduce detection time in remote mountainous areas where 41% of fires in the past five years occurred in pine forests of the Kalbin Highlands.

AI to help detect forest fires in E Kazakhstan For the first time, East Kazakhstan is introducing an AI-powered early detection system to combat wildfires. In nine forestry enterprises across the region, 90 antenna-mast complexes will be installed to automatically detect smoke and send alerts to dispatch centers, a Qazinform News Agency https://qazinform.com/ correspondent reports. 15 forest fires have been registered in the region this season. Many fires occur in remote, mountainous areas where early detection is difficult. AI technology will significantly reduce the time between ignition and detection. The system will be tested in Asubulak and Samara forestries, located in the Kalbin Highlands. These pine forests are the most fire-prone, 41% of all fires in the past five years occurred here, head of the natural resources and nature management regulation department Marat Kussainov said. Antenna-mast complexes are equipped with cameras and automated image analysis. 14 billion tenge will be allocated from the regional budget. Murat Kussainov emphasized that the mountainous terrain makes mast installations essential. The system is expected to strengthen fire prevention capacity and protect valuable coniferous forests. Earlier, it was reported East Kazakhstan announced https://qazinform.com/news/extreme-fire-danger-in-effect-in-east-kazakhstan-b58852 the maximum fire danger level, class 5, due to extreme heat and lack of rainfall.