Patents by Inventor Mitchell Kay Oldroyd

Mitchell Kay Oldroyd has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for drone and object classification
    Patent number: 11906657
    Abstract: 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.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: February 20, 2024
    Assignee: Fortem Technologies, Inc.
    Inventors: David Preece, Mikko Valimaki, Mitchell Kay Oldroyd, Adam Eugene Robertson, Bryan Alan Davis, Matthew Elliott Argyle, David Thimm, James David Mackie
  • SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION
    Publication number: 20200103499
    Abstract: 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.
    Type: Application
    Filed: October 1, 2019
    Publication date: April 2, 2020
    Inventors: David Preece, Mikko Valimaki, Mitchell Kay Oldroyd, Adam Eugene Robertson, Bryan Alan Davis, Matthew Elliott Argyle, David Thimm, James David Mackie