Patents by Inventor Cornelius Young

Cornelius Young 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).

  • METHODS AND SYSTEMS OF PREDICTING TOTAL LOSS EVENTS
    Publication number: 20260091748
    Abstract: A mobile device detects a crash event using one or more sensors of a mobile device. The mobile device records a first set of data from the one or more sensors of the mobile device. The mobile device generates a first feature vector including the first set of data and available values for one or more additional data types. The mobile device executes a first machine-learning model selected from a plurality of machine-learning models based on the one or more additional data types for which there are available values to generate a first confidence of a total loss event.
    Type: Application
    Filed: December 9, 2025
    Publication date: April 2, 2026
    Applicant: Cambridge Mobile Telematics Inc.
    Inventors: Yuting Qi, Cornelius Young, Rizki Syarif, Burak Erem
  • Methods and systems of predicting total loss events
    Patent number: 12515602
    Abstract: A mobile device detects a crash event using one or more sensors of a mobile device. The mobile device records a first set of data from the one or more sensors of the mobile device. The mobile device generates a first feature vector including the first set of data and vehicle data that includes an identifier of a vehicle. The mobile device generates a second feature vector using the first set of data and additional data types. The mobile device predicts a confidence of a total loss event by generating a first confidence value from a first machine-learning model using the first feature vector and a second confidence value from a second machine-learning model using the second feature vector.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: January 6, 2026
    Assignee: Cambridge Mobile Telematics Inc.
    Inventors: Yuting Qi, Cornelius Young, Rizki Syarif, Burak Erem
  • METHODS AND SYSTEMS OF PREDICTING TOTAL LOSS EVENTS
    Publication number: 20220017032
    Abstract: Techniques are disclosed for predicting a confidence of a total loss event. A mobile device detects a crash event using one or more sensors of a mobile device. The mobile device records a first set of data from the one or more sensors of the mobile device. The mobile device generates a first feature vector including the first set of data and vehicle data that includes an identifier of a vehicle. The mobile device generates a second feature vector using the first set of data and additional data types. The mobile device predicts a confidence of a total loss event by generating a first confidence value from a first machine-learning model using the first feature vector and a second confidence value from a second machine-learning model using the second feature vector.
    Type: Application
    Filed: July 13, 2021
    Publication date: January 20, 2022
    Applicant: CAMBRIDGE MOBILE TELEMATICS INC.
    Inventors: Yuting Qi, Cornelius Young, Rizki Syarif, Burak Erem