Unmanned aerial system detection and mitigation

This invention describes a system to detect unwanted drones, analyze their flight behavior using artificial intelligence, and then classify them as either compliant, unintentionally non-compliant, or intentionally non-compliant. Based on this analysis and a safety assessment, the system can then trigger a response, which could range from non-destructive interference to physically capturing or destroying the drone. The core of the system relies on an AI engine trained to recognize specific drone characteristics and behaviors.

Why it matters: AI and machine learning capabilities for real-time object recognition and behavioral analysis have advanced significantly since 2018, making the core classification engine more robust and easier to implement. The availability of more powerful edge computing and refined sensor fusion techniques also improves the system's overall effectiveness.

Status: In forceA lapse was cured by a late fee and protection was reinstated.
How hard to build: SpecializedAI/ML software, sensor integration, mitigation hardware

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