Patents by Inventor Anthony Alexander Santos

Anthony Alexander Santos 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).

  • Identification of item attributes using artificial intelligence
    Patent number: 9798960
    Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.
    Type: Grant
    Filed: January 24, 2017
    Date of Patent: October 24, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Anthony Alexander Santos, Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Siqi Zhao
  • IDENTIFICATION OF ITEM ATTRIBUTES USING ARTIFICIAL INTELLIGENCE
    Publication number: 20170132497
    Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.
    Type: Application
    Filed: January 24, 2017
    Publication date: May 11, 2017
    Inventors: Anthony Alexander Santos, Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Siqi Zhao
  • Identification of item attributes using artificial intelligence
    Patent number: 9569700
    Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.
    Type: Grant
    Filed: December 17, 2014
    Date of Patent: February 14, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Anthony Alexander Santos, Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Siqi Zhao