Patents by Inventor Frederick Soo

Frederick Soo 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 determining probability that a vehicle driver is associated with a driver identifier
    Patent number: 11580756
    Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: February 14, 2023
    Assignee: Nauto, Inc.
    Inventors: Michael Gleeson-May, Frederick Soo, Stefan Heck
  • SYSTEM AND METHOD FOR DETERMINING PROBABILITY THAT A VEHICLE DRIVER IS ASSOCIATED WITH A DRIVER IDENTIFIER
    Publication number: 20200110952
    Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
    Type: Application
    Filed: December 9, 2019
    Publication date: April 9, 2020
    Inventors: Michael Gleeson-May, Frederick Soo, Stefan Heck
  • System and method for determining probability that a vehicle driver is associated with a driver identifier
    Patent number: 10503990
    Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
    Type: Grant
    Filed: October 15, 2018
    Date of Patent: December 10, 2019
    Assignee: Nauto, Inc.
    Inventors: Michael Gleeson-May, Frederick Soo, Stefan Heck
  • SYSTEM AND METHOD FOR AUTOMATIC DRIVER IDENTIFICATION
    Publication number: 20190050657
    Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
    Type: Application
    Filed: October 15, 2018
    Publication date: February 14, 2019
    Inventors: Michael Gleeson-May, Frederick Soo, Stefan Heck
  • System and method for automatic driver identification
    Patent number: 10133942
    Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
    Type: Grant
    Filed: July 5, 2017
    Date of Patent: November 20, 2018
    Assignee: Nauto Global Limited
    Inventors: Michael Gleeson-May, Frederick Soo, Stefan Heck
  • SYSTEM AND METHOD FOR AUTOMATIC DRIVER IDENTIFICATION
    Publication number: 20180012092
    Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
    Type: Application
    Filed: July 5, 2017
    Publication date: January 11, 2018
    Inventors: Michael Gleeson-May, Frederick Soo, Stefan Heck