Patents by Inventor Ádám ERDÉLYI

Ádám ERDÉLYI 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).

  • Publication number: 20210248264
    Abstract: In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera. The processor is configured to detect a structure of a region of interest from a set of regions of interest in an image from the set of images. The processor is configured to classify the structure into a geometric class from a set of predefined geometric classes using machine learning techniques. The processor is configured to alter the region of interest to generate an altered image when the geometric class is associated with an identity of a person, such that privacy associated with the identity of the person is protected. The processor is configured to send the altered image to a user interface or store the altered image in a standardized format.
    Type: Application
    Filed: February 4, 2021
    Publication date: August 12, 2021
    Applicant: KiwiSecurity Software GmbH
    Inventors: Florian MATUSEK, Klemens KRAUS, Stephan SUTOR, Ádám ERDÉLYI, Georg ZANKL
  • Patent number: 10915660
    Abstract: In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera. The processor is configured to detect a structure of a region of interest from a set of regions of interest in an image from the set of images. The processor is configured to classify the structure into a geometric class from a set of predefined geometric classes using machine learning techniques. The processor is configured to alter the region of interest to generate an altered image when the geometric class is associated with an identity of a person, such that privacy associated with the identity of the person is protected. The processor is configured to send the altered image to a user interface or store the altered image in a standardized format.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: February 9, 2021
    Assignee: KiwiSecurity Software GmbH
    Inventors: Florian Matusek, Klemens Kraus, Stephan Sutor, Ádám Erdélyi, Georg Zankl
  • Publication number: 20200184103
    Abstract: In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera. The processor is configured to detect a structure of a region of interest from a set of regions of interest in an image from the set of images. The processor is configured to classify the structure into a geometric class from a set of predefined geometric classes using machine learning techniques. The processor is configured to alter the region of interest to generate an altered image when the geometric class is associated with an identity of a person, such that privacy associated with the identity of the person is protected. The processor is configured to send the altered image to a user interface or store the altered image in a standardized format.
    Type: Application
    Filed: February 14, 2020
    Publication date: June 11, 2020
    Applicant: KiwiSecurity Software GmbH
    Inventors: Florian MATUSEK, Klemens KRAUS, Stephan SUTOR, Ádám ERDÉLYI, Georg ZANKL
  • Patent number: 10565395
    Abstract: In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera. The processor is configured to detect a structure of a region of interest from a set of regions of interest in an image from the set of images. The processor is configured to classify the structure into a geometric class from a set of predefined geometric classes using machine learning techniques. The processor is configured to alter the region of interest to generate an altered image when the geometric class is associated with an identity of a person, such that privacy associated with the identity of the person is protected. The processor is configured to send the altered image to a user interface or store the altered image in a standardized format.
    Type: Grant
    Filed: January 27, 2017
    Date of Patent: February 18, 2020
    Assignee: Kiwi Security Software GMBH
    Inventors: Florian Matusek, Klemens Kraus, Stephan Sutor, Ádám Erdélyi, Georg Zankl
  • Publication number: 20170220816
    Abstract: In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive a set of images associated with a video recorded by a moving or a non-moving camera. The processor is configured to detect a structure of a region of interest from a set of regions of interest in an image from the set of images. The processor is configured to classify the structure into a geometric class from a set of predefined geometric classes using machine learning techniques. The processor is configured to alter the region of interest to generate an altered image when the geometric class is associated with an identity of a person, such that privacy associated with the identity of the person is protected. The processor is configured to send the altered image to a user interface or store the altered image in a standardized format.
    Type: Application
    Filed: January 27, 2017
    Publication date: August 3, 2017
    Inventors: Florian MATUSEK, Klemens KRAUS, Stephan SUTOR, Ádám ERDÉLYI, Georg ZANKL