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UAV Low-Altitude AI Perception Platform
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
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