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Patent drawing for Unmanned vehicle recognition and threat management
US 12,272,258 B2
Radar & sensing US 12,272,258 B2 Not in force

Unmanned vehicle recognition and threat management

This invention describes a system that listens for radio signals to identify specific types of transmissions in an environment. It works by taking raw radio data, converting it into a specific type of visual display called a "waterfall image," and then highlighting detected signals or signal types on that image for an operator. The claims focus on this visual analysis method rather than fully automated drone detection.

Why it matters: Since 2024, advancements in AI models for visual pattern recognition and real-time signal processing have likely improved the efficiency and accuracy of training systems to interpret complex waterfall images for signal identification. This could make the claimed visual analysis more robust and automated.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedRF receivers, signal processing, AI software, display

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