Patents by Inventor Michael Sundell

Michael Sundell 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: 11804056
    Abstract: Image encoded documents are identified by recognizing known objects in each document with an object recognizer. The objects in each page are filtered to remove lower order objects. Known features in the objects are recognized by sequentially organizing each object in each filtered page into a one-dimensional array, where each object is positioned in a corresponding one-dimensional array as a function of location in the corresponding filtered page. The one-dimensional array is then compared to known arrays to classify the image document corresponding to the one-dimensional array.
    Type: Grant
    Filed: May 30, 2022
    Date of Patent: October 31, 2023
    Assignee: Automation Anywhere, Inc.
    Inventors: Michael Sundell, Vibhas Gejji
  • Publication number: 20220292862
    Abstract: Image encoded documents are identified by recognizing known objects in each document with an object recognizer. The objects in each page are filtered to remove lower order objects. Known features in the objects are recognized by sequentially organizing each object in each filtered page into a one-dimensional array, where each object is positioned in a corresponding one-dimensional array as a function of location in the corresponding filtered page. The one-dimensional array is then compared to known arrays to classify the image document corresponding to the one-dimensional array.
    Type: Application
    Filed: May 30, 2022
    Publication date: September 15, 2022
    Inventors: Michael Sundell, Vibhas Gejji
  • Patent number: 11348353
    Abstract: Image encoded documents are identified by recognizing known objects in each document with an object recognizer. The objects in each page are filtered to remove lower order objects. Known features in the objects are recognized by sequentially organizing each object in each filtered page into a one-dimensional array, where each object is positioned in a corresponding one-dimensional array as a function of location in the corresponding filtered page. The one-dimensional array is then compared to known arrays to classify the image document corresponding to the one-dimensional array.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: May 31, 2022
    Assignee: Automation Anywhere, Inc.
    Inventors: Michael Sundell, Vibhas Gejji
  • Publication number: 20210240975
    Abstract: Image encoded documents are identified by recognizing known objects in each document with an object recognizer. The objects in each page are filtered to remove lower order objects. Known features in the objects are recognized by sequentially organizing each object in each filtered page into a one-dimensional array, where each object is positioned in a corresponding one-dimensional array as a function of location in the corresponding filtered page. The one-dimensional array is then compared to known arrays to classify the image document corresponding to the one-dimensional array.
    Type: Application
    Filed: January 31, 2020
    Publication date: August 5, 2021
    Applicant: Automation Anywhere, Inc.
    Inventors: Michael Sundell, Vibhas Gejji