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Applications

With an open architecture supporting multi-modal data fusion, the platform is widely applied in forest fire monitoring, geological hazard exploration, ecological protection patrols, urban security, and power line inspections, providing robust technical support for low-altitude economy and comprehensive 3D management. The platform establishes a comprehensive low-altitude dynamic sensing system through deep sensor integration and intelligent algorithm collaboration. For large-scale inspection scenarios, it integrates a multi-drone cooperative sensing network and dynamic task allocation framework, enabling real-time data sharing and global situation reconstruction via distributed edge computing. This provides an all-weather, all-terrain intelligent sensing foundation for smart cities, ecological protection, and emergency rescue.

Functional Features

Multi-Level Architecture

Edge-side lightweight models achieve millisecond-level response, while cloud-based global optimization refines multi-drone coordination strategies, reducing energy consumption and enabling collaborative operations to enhance overall system efficiency.
Anti-Interference Mechanism

Equipped with built-in meteorological compensation and noise suppression algorithms, it maintains over 90% target detection rate in adverse conditions like rain, fog, and sandstorms, ensuring all-weather reliability and stable task execution.
Multi-Modal Fusion

Integrating LiDAR, cameras, millimeter-wave radars, and other multi-source sensors, it enhances target recognition accuracy through cross-modal data complementarity, meeting comprehensive sensing demands and improving environmental adaptability.
Unmanned Inspection

Integrated with automated drone nests, it enables autonomous charging and battery swapping for continuous operations, extending inspection coverage to hard-to-reach areas while improving operational efficiency and safety.

Cases

Dahei Mountain forest inspection

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.

Pengchang Passenger Port UAV inspection system

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.