System and method for drone and object classification

A system comprising:

• a processor;
• and
• a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
• transmitting a radar signal from a device to a flying object;
• receiving at the device a reflected signal from the flying object, the reflected signal comprising a Doppler signature associated with a rotary movement of at least one rotary blade on the flying object, wherein the rotary movement comprises a first part in which the at least one rotary blade is moving towards the system and a second part in which the at least one rotary blade is moving away from the system;
• and
• classifying the flying object by applying a machine learning algorithm to the reflected signal to yield a classification, wherein the machine learning algorithm is trained utilizing labeled reflected radar signals.

A system comprising:

• a radar component that transmits a radar signal and receives a reflected radar signal from a flying object, the reflected radar signal comprising a Doppler signature of the flying object, wherein the Doppler signature of the flying object is based on a first part in which a rotary blade of the flying object is moving towards the system and a second part in which the rotary blade is moving away from the system;
• an infrared receiving component that receives an emitted infrared signal from the flying object;
• a microphone that receives an audible signal generated by the flying object;
• a camera that receives an optical signal associated with the flying object;
• and
• a machine learning module that receives signals comprising the reflected radar signal, the emitted infrared signal, the audible signal, and the optical signal, and utilizes the signals to yield a classification of the flying object.