Method and system for identifying low-altitude unmanned aerial vehicles

Method for identifying low-altitude unmanned aerial vehicles using acoustic, visual, and communication signals

This technology discloses a method and system for identifying low-altitude unmanned aerial vehicles (UAVs). The identification system according to an embodiment establishes a surveillance airspace for a low-altitude warning system and determines anomalous signals and target threats within the airspace using identification data that includes acoustic signals, UAV visual information, and communication signals. By identifying anomalous signals based on acoustic and visual data specific to UAV models, this system overcomes the limitations of existing radar detection, such as terrain masking, and eliminates blind spots. Furthermore, by integrating acoustic sensors, electro-optical sensors, and infrared sensors, it enables more accurate collection of communication and acoustic data within the surveillance area.

Existing solutions in this field have faced structural and functional limitations that required improvement.

This technology, as a method and system for identifying low-altitude UAVs, can be applied to relevant industries to enhance performance and efficiency.

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Key Features:

• Registering and storing acoustic and visual information for various low-altitude UAV models in a database to serve as identification criteria
• Setting a surveillance airspace and collecting identification data, including acoustic and communication signals, for low-altitude UAVs
• Determining whether the collected identification data contains anomalous signals that deviate beyond a certain threshold from the pre-stored acoustic and visual information
• Capturing target imagery upon detection of an anomalous signal, transmitting it to a control center, and determining whether the target is suspicious by comparing acoustic and visual data

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