Patents by Inventor David Hallac

David Hallac 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).

  • Patent number: 11772658
    Abstract: Described herein are systems and methods for applying machine learning to telematics data to generate a unique driver fingerprint for an individual by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique driver fingerprint for the individual, the driver fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the driver fingerprint.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: October 3, 2023
    Assignee: VIADUCT, INC.
    Inventor: David Hallac
  • Publication number: 20230237335
    Abstract: Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.
    Type: Application
    Filed: April 3, 2023
    Publication date: July 27, 2023
    Inventor: David HALLAC
  • Publication number: 20230234594
    Abstract: Described herein are systems and methods for applying machine learning to telematics data to generate a unique driver fingerprint for an individual by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique driver fingerprint for the individual, the driver fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the driver fingerprint.
    Type: Application
    Filed: April 3, 2023
    Publication date: July 27, 2023
    Inventor: David HALLAC
  • Patent number: 11676014
    Abstract: Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: June 13, 2023
    Assignee: VIADUCT, INC.
    Inventor: David Hallac