Patents by Inventor Benjamin Fankhauser

Benjamin Fankhauser 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: 11669607
    Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: June 6, 2023
    Assignee: PXL Vision AG
    Inventors: Mikhail Vorobiev, Nevena Shamoska, Magdalena Polac, Benjamin Fankhauser, Michael Goettlicher, Marcus Hudritsch, Suman Saha, Stamatios Georgoulis, Luc van Gool
  • Patent number: 11443559
    Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document, using automated verification of identification documents and detection that a live person identified by the document is present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks. The deep learning model may be trained using training data extracted from facial feature locations of training images.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: September 13, 2022
    Assignee: PXL Vision AG
    Inventors: Mikhail Vorobiev, Nevena Shamoska, Magdalena Polac, Benjamin Fankhauser, Michael Goettlicher, Marcus Hudritsch, Stamatios Georgoulis, Suman Saha, Luc van Gool
  • Publication number: 20210064900
    Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.
    Type: Application
    Filed: August 28, 2020
    Publication date: March 4, 2021
    Inventors: Mikhail Vorobiev, Nevena Shamoska, Magdalena Polac, Benjamin Fankhauser, Michael Goettlicher, Marcus Hudritsch, Suman Saha, Stamatios Georgoulis, Luc van Goo
  • Publication number: 20210064901
    Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document, using automated verification of identification documents and detection that a live person identified by the document is present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks. The deep learning model may be trained using training data extracted from facial feature locations of training images.
    Type: Application
    Filed: August 28, 2020
    Publication date: March 4, 2021
    Inventors: Mikhail Vorobiev, Nevena Shamoska, Magdalena Polac, Benjamin Fankhauser, Michael Goettlicher, Marcus Hudritsch, Stamatios Georgoulis, Suman Saha, Luc van Gool