Patents by Inventor Richard Tomsett

Richard Tomsett 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 for fraud detection using relative movement of facial features
    Patent number: 12563053
    Abstract: Described herein are computerized methods and systems for detecting fraud during identity verification. An image capture device of a mobile device captures video comprising a plurality of frames of a person's face and transmits the plurality of frames to a server device. The server detects locations of rigid and non-rigid facial features of the person's face in each of the plurality of frames. The server generates time-series signals based upon a position measurement for the facial features in each of the plurality of frames and extracts classification features from the time-series signals. The server applies a trained machine learning classification model to the extracted classification features to generate a fraud detection decision for the plurality of frames.
    Type: Grant
    Filed: December 14, 2022
    Date of Patent: February 24, 2026
    Assignee: Onfido Ltd.
    Inventors: Slavi Bonev, Mohan Mahadevan, Romain Sabathe, Sébastien Ehrhardt, Richard Tomsett
  • METHODS AND SYSTEMS FOR FRAUD DETECTION USING RELATIVE MOVEMENT OF FACIAL FEATURES
    Publication number: 20240205239
    Abstract: Described herein are computerized methods and systems for detecting fraud during identity verification. An image capture device of a mobile device captures video comprising a plurality of frames of a person's face and transmits the plurality of frames to a server device. The server detects locations of rigid and non-rigid facial features of the person's face in each of the plurality of frames. The server generates time-series signals based upon a position measurement for the facial features in each of the plurality of frames and extracts classification features from the time-series signals. The server applies a trained machine learning classification model to the extracted classification features to generate a fraud detection decision for the plurality of frames.
    Type: Application
    Filed: December 14, 2022
    Publication date: June 20, 2024
    Inventors: Slavi Bonev, Mohan Mahadevan, Romain Sabathe, Sébastien Ehrhardt, Richard Tomsett