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Forest fires are highly destructive and often break out suddenly in remote mountains and valleys, where manual patrols are slow and coverage is incomplete. Small ignition points and thin smoke are easy to miss, especially at night or in hazy weather. By using intelligent thermal imaging to monitor wide forest areas in real time, Dahua’s early fire detection solution identifies tiny hot spots and emerging smoke plumes before they grow into large fires, giving managers valuable time to organize response and protect ecosystems, infrastructure, and nearby communities.
It installs dual-spectrum pan-tilt units on towers, hilltops, or communication masts to continuously scan surrounding mountains and forest canopies. The thermal channel measures temperature changes and automatically detects small fire points, while the visible channel analyzes smoke patterns and background conditions. Intelligent algorithms filter out sunlight, clouds, and normal hot objects, then generate precise alarms with snapshots, video clips, and coordinates on the map. Linked with forest-fire platforms and command centers, this solution supports rapid verification, accurate positioning, and early dispatch of firefighting teams, greatly reducing the risk of large-scale wildfires.
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