Kalit31/Drone-Detection-and-Identification-using-RF-signals
Code repository for 'Machine Learning based framework for Drone Detection and Identification using RF signals'
This framework helps security personnel and military operations detect and identify drones by analyzing their radio frequency (RF) signals. You provide raw RF signal data, and it outputs a classification indicating if a drone is present and potentially its type. This is designed for security officers, defense analysts, and site managers concerned with unauthorized drone activity.
Use this if you need an automated system to reliably detect and identify drones based on their unique radio frequency emissions.
Not ideal if you're looking for visual drone detection or a system that doesn't rely on RF signal analysis.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 12, 2026
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