Patents by Inventor David Thor

David Thor 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).

  • Publication number: 20220292899
    Abstract: An access control method comprises providing a handheld mobile wireless device that includes a user key uniquely associated with a user, and a facility communication device that transmits a facility key uniquely associated with the facility. The mobile device receives the transmitted facility key and retransmits the received facility key and the user key to a remote premise control server, which authenticates the received keys. The server transmits an access control command if the keys authenticate. The server regularly updates the facilities key and transmits an updated facility key to the facilities communication device.
    Type: Application
    Filed: April 19, 2021
    Publication date: September 15, 2022
    Applicant: Kloee, LLC
    Inventor: David Thor
  • Patent number: 10410309
    Abstract: The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: September 10, 2019
    Assignee: Facebook, Inc.
    Inventors: Raphael A. Rodriguez, Michael Muesch, David Thor, Justin Boyd, Ryan Cahill, Xiaolu Xiong
  • Publication number: 20190197642
    Abstract: The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.
    Type: Application
    Filed: February 26, 2019
    Publication date: June 27, 2019
    Inventors: Raphael A. Rodriguez, Michael Muesch, David Thor, Justin Boyd, Ryan Cahill, Xiaolu Xiong
  • Patent number: 10217179
    Abstract: The present disclosure describes systems and methods to classify and authenticate ID documents based on the information contained on the face of the ID document. This present system can automatically classify, authenticate, and extracting data from documents using artificial intelligence (AI) based machine learning for image recognition. In some implementations, the machine learning techniques include a convolutional neural network. The system can also determine the authenticity of other documents, such as currency, stamps, and invoices.
    Type: Grant
    Filed: October 17, 2017
    Date of Patent: February 26, 2019
    Assignee: FACEBOOK, INC.
    Inventors: Raphael A. Rodriguez, Michael Muesch, David Thor, Justin Boyd, Ryan Cahill, Xiaolu Xiong
  • Publication number: 20180108101
    Abstract: The present disclosure describes systems and methods to classify and authenticate ID documents based on the information contained on the face of the ID document. This present system can automatically classify, authenticate, and extracting data from documents using artificial intelligence (AI) based machine learning for image recognition. In some implementations, the machine learning techniques include a convolutional neural network. The system can also determine the authenticity of other documents, such as currency, stamps, and invoices.
    Type: Application
    Filed: October 17, 2017
    Publication date: April 19, 2018
    Inventors: Raphael A. Rodriguez, Michael Muesch, David Thor, Justin Boyd, Ryan Cahill, Xiaolu Xiong
  • Publication number: 20180033020
    Abstract: The present disclosure describes systems and methods to classify and authenticate ID documents based on the information contained within the ID documents' 2D barcode. Different classes of ID documents can have different optional information encoded into the 2D barcode. In many cases, the card issuer does not publically document the information contained within the optional portions. The present solution can classify the ID documents based on the information contained within the required and optional portions of the 2D barcode. For example, the system can classify and authenticate the ID document based on the data encoded into the 2D barcode, the encoded data design, formatting, extra or missing encoded data, or other errors in the coding and sequencing of data encoded into the 2D barcode.
    Type: Application
    Filed: July 28, 2017
    Publication date: February 1, 2018
    Inventors: Nicole Viens, Raphael A. Rodriguez, Michael R. Muesch, Ryan Cahill, Justin M. Boyd, David Thor