Deterrent for unmanned aerial systems using data mining and/or machine learning for improved target detection and classification

This invention describes a system designed to stop unwanted drones. It uses multiple sensors, like radar or cameras, to gather information about a drone. This sensor data is then combined and processed using machine learning to identify the drone and determine how to stop it, specifically by identifying the right electronic signal to jam it.

Why it matters: Since 2018, advancements in machine learning algorithms and processing power have significantly improved the accuracy and real-time capability of sensor fusion and target classification. This could enhance the system's ability to precisely identify threats and select appropriate electronic countermeasures, as described in the claims.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSpecialized sensors, custom signal processing, machine learning software

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