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Patent drawing for Unmanned vehicle recognition and threat management
US 12,205,477 B2
Traffic systems US 12,205,477 B2 Not in force

Unmanned vehicle recognition and threat management

This invention describes a system that uses radio receivers to pick up signals in the air. These signals are sent to a computer that uses artificial intelligence to analyze them, specifically by looking at visual representations called "waterfall images." The AI is trained with images of known signal types to identify and classify signals from things like drones or their controllers, and the system can also figure out the direction these signals are coming from. The claims narrow the AI analysis to specifically using "waterfall images" for detection.

Why it matters: Filed in 2024, the rapid evolution of AI/ML frameworks and specialized libraries for signal processing and image analysis has made developing and training such systems more efficient and accessible. This could reduce the development burden for the AI component.

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Not in forceListed as no longer active.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/ML software

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