Patents by Inventor Uri Elias

Uri Elias 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: 11562276
    Abstract: A system for image classification is disclosed that includes a central system configured to provide high reliability image data processing and recognition and a plurality of endpoint systems, each configured to provide image data processing and recognition with a lower reliability than the central system and to generate probability data. A decision switch disposed at each of the plurality of endpoint systems is configured to receive the probability data and to determine whether to deny access, grant access or generate a referral message to the central system, wherein the referral message includes at least a set of image data generated at the endpoint system.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: January 24, 2023
    Assignee: FORCEPOINT LLC
    Inventors: Gal Itach, Shai Ungar, Ran Geler, Ayval Ron, Uri Elias
  • Patent number: 11295026
    Abstract: A method, system and computer-usable medium for detecting an occurrence of visual hacking via a visual hacking detection operation which includes: receiving a surveillance image; processing the surveillance image to generate surveillance image data; and, performing a visual hacking detection operation using the surveillance image data, the visual hacking detection operation determining whether visual hacking has been detected.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: April 5, 2022
    Assignee: Forcepoint, LLC
    Inventors: Yacov Schondorf, Michael Elazar, Uri Elias, Gil Vinokoor
  • Publication number: 20200356886
    Abstract: A system for image classification is disclosed that includes a central system configured to provide high reliability image data processing and recognition and a plurality of endpoint systems, each configured to provide image data processing and recognition with a lower reliability than the central system and to generate probability data. A decision switch disposed at each of the plurality of endpoint systems is configured to receive the probability data and to determine whether to deny access, grant access or generate a referral message to the central system, wherein the referral message includes at least a set of image data generated at the endpoint system.
    Type: Application
    Filed: July 27, 2020
    Publication date: November 12, 2020
    Applicant: Forcepoint LLC
    Inventors: Gal Itach, Shai Ungar, Ran Geler, Ayval Ron, Uri Elias
  • Patent number: 10769543
    Abstract: A system for image classification is disclosed that includes a central system configured to provide high reliability image data processing and recognition and a plurality of endpoint systems, each configured to provide image data processing and recognition with a lower reliability than the central system and to generate probability data. A decision switch disposed at each of the plurality of endpoint systems is configured to receive the probability data and to determine whether to deny access, grant access or generate a referral message to the central system, wherein the referral message includes at least a set of image data generated at the endpoint system.
    Type: Grant
    Filed: August 1, 2018
    Date of Patent: September 8, 2020
    Assignee: FORCEPOINT LLC
    Inventors: Gal Itach, Shai Ungar, Ran Geler, Ayval Ron, Uri Elias
  • Publication number: 20200159937
    Abstract: A method, system and computer-usable medium for detecting an occurrence of visual hacking via a visual hacking detection operation which includes: receiving a surveillance image; processing the surveillance image to generate surveillance image data; and, performing a visual hacking detection operation using the surveillance image data, the visual hacking detection operation determining whether visual hacking has been detected.
    Type: Application
    Filed: November 20, 2018
    Publication date: May 21, 2020
    Inventors: Yacov Schondorf, Michael Elazar, Uri Elias, Gil Vinokoor
  • Publication number: 20200042891
    Abstract: A system for image classification is disclosed that includes a central system configured to provide high reliability image data processing and recognition and a plurality of endpoint systems, each configured to provide image data processing and recognition with a lower reliability than the central system and to generate probability data. A decision switch disposed at each of the plurality of endpoint systems is configured to receive the probability data and to determine whether to deny access, grant access or generate a referral message to the central system, wherein the referral message includes at least a set of image data generated at the endpoint system.
    Type: Application
    Filed: August 1, 2018
    Publication date: February 6, 2020
    Applicant: Forcepoint LLC
    Inventors: Gal Itach, Shai Ungar, Ran Geler, Ayval Ron, Uri Elias