Patents by Inventor Michael Muesch

Michael Muesch 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: 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