1. Background and Solution
Frequent human activity in mountainous forest areas poses widespread fire hazards with fire sources that are difficult to detect and control. Traditional forest fire prevention still relies heavily on manual ground patrols and watchtower observation, which are significantly impaired by adverse conditions like darkness, fog, and snow. Raythink leverages its independent, cutting-edge thermal imaging detection technology integrated with advanced video monitoring technology, and builds an all-day, all-weather, full-coverage three-dimensional forest fire monitoring network. We establish an integrated forest fire prevention platform enabling “pre-incident prevention, real-time incident response, and post-incident recovery”, delivering robust forest protection.
2. Core advantages
1) Large FOV - 1280 Leading Thermal Resolution
Equipped with high-definition thermal imaging resolutions such as 640×512 and 1280×1024, it captures details more clearly in the same scene and realizes full-range situational awareness at the same distance, significantly shortening patrol time and improving monitoring efficiency.
2) Long Distance Detection - 1.5 Pixel Fire Spot Identification
Raythink’s forest fire protection product series utilizes a high-precision fire detection algorithm capable of identifying fire spots with as few as 1.5 pixels, saving valuable time for fire fighting and rescue.
3) 24/7 - Dual-spectrum Monitoring
Raythink PTZ cameras combine visible light (for smoke detection) and thermal imaging (for fire detection), delivering 24/7 monitoring capability that performs reliably in any extreme weather conditions.
4) One-map for Unified Management
The platform supports one-click import of all firefighting resources, establishing a firefighting resource distribution system on the map, facilitating the rapid location and deployment of nearby resources in the event of fire. It also supports real-time map preview, enabling users to check the automatic inspection status around potential fire points, achieving early detection to effectively control forest fires.






