Patents by Inventor Alexander GEBALA

Alexander GEBALA 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: 10467477
    Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
    Type: Grant
    Filed: January 18, 2019
    Date of Patent: November 5, 2019
    Assignee: PerceptiMed, Inc.
    Inventors: Eugene Gershtein, Alan Jacobs, Alexander Gebala
  • Publication number: 20190258860
    Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
    Type: Application
    Filed: January 18, 2019
    Publication date: August 22, 2019
    Inventors: Eugene Gershtein, Alan Jacobs, Alexander Gebala
  • Patent number: 10229321
    Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: March 12, 2019
    Assignee: PerceptiMed, Inc.
    Inventors: Eugene Gershtein, Alan Jeffrey Jacobs, Alexander Gebala
  • Publication number: 20180046862
    Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
    Type: Application
    Filed: October 24, 2017
    Publication date: February 15, 2018
    Inventors: Eugene Gershtein, Alan Jeffrey Jacobs, Alexander Gebala
  • Patent number: 9842257
    Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
    Type: Grant
    Filed: January 23, 2013
    Date of Patent: December 12, 2017
    Assignee: PerceptiMed, Inc.
    Inventors: Eugene Gershtein, Alan Jeffrey Jacobs, Alexander Gebala
  • Publication number: 20150302255
    Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.
    Type: Application
    Filed: January 23, 2013
    Publication date: October 22, 2015
    Inventors: Eugene GERSHTEIN, Alan Jeffrey JACOBS, Alexander GEBALA