System and method for drone and object classification

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United States of America Patent

PATENT NO 11906657
APP PUB NO 20200103499A1
SERIAL NO

16589678

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Abstract

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A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

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Patent Owner(s)

Patent OwnerAddress
FORTEM TECHNOLOGIES INC2015 W GROVE PARKWAY PLEASANT GROVE UT 84062

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Argyle, Matthew Elliott Lindon, US 11 33
Davis, Bryan Alan Salt Lake City, US 9 15
Mackie, James David Provo, US 8 15
Oldroyd, Mitchell Kay Bluffdale, US 1 10
Preece, David Elk Ridge, US 3 30
Robertson, Adam Eugene Provo, US 11 14
Thimm, David Orem, US 35 464
Valimaki, Mikko Orem, US 9 85

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