Drone formations equipped with multispectral cameras, infrared sensors, and LiDAR terrain scanning construct precise 3D fire prevention maps. The system leverages edge computing to analyze vegetation temperature and humidity in real time, enabling accurate early fire detection. Even in complex environments with smoke interference, AI enhances heat source tracking, locating fire sources and generating spread trend models within just 10 seconds, significantly reducing false alarm rates compared to traditional methods. Through multi-drone collaborative operations, full forest area coverage is achieved.

The low-altitude AI sensing platform deployed at Pengchang Passenger Port, equipped with LiDAR and dual-spectrum cameras on UAVs, achieves three-dimensional inspection of the port area. The system integrates millimeter-wave radar data with infrared thermal imaging in real time, accurately identifying anomalies such as personnel trespassing, illegal vehicle parking, and improper cargo stacking within the operational area, reducing nighttime false alarms to below 5%. In low-visibility foggy conditions, the AI model automatically enhances heat source and motion trajectory analysis, dynamically generating 3D thermal maps of port area traffic through edge-based lightweight processing, coordinating with the dispatch center to optimize vehicle flow paths and significantly reduce peak-hour congestion duration.