Patents by Inventor Ariel Amato

Ariel Amato 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: 20240362914
    Abstract: Various embodiments described herein provide for analysis of a video using a scanning technique. According to some embodiments, a video is analyzed by scanning a region of interest in a series of frames of the video, and generating a composite image based on the pixels captured by the scanning operation.
    Type: Application
    Filed: July 9, 2024
    Publication date: October 31, 2024
    Inventors: Ariel Amato, Diego Antelo, Sergio Sancho Asensio, Francesco Brughi, Mathias Bertorelli Argibay, Brent Boekestein
  • Patent number: 12051242
    Abstract: Various embodiments described herein provide for analysis of a video using a scanning technique. According to some embodiments, a video is analyzed by scanning a region of interest in a series of frames of the video, and generating a composite image based on the pixels captured by the scanning operation.
    Type: Grant
    Filed: October 28, 2021
    Date of Patent: July 30, 2024
    Assignee: Alarm.com Incorporated
    Inventors: Ariel Amato, Diego Antelo, Sergio Sancho Asencio, Francesco Brughi, Mathias Bertorelli Argibay, Brent Boekestein
  • Patent number: 11861999
    Abstract: Various embodiments described herein provide for detection of a particular object within a scene depicted by image data by using a coarse-to-fine approach/strategy based on one or more relationships of objects depicted within the scene.
    Type: Grant
    Filed: June 11, 2021
    Date of Patent: January 2, 2024
    Assignee: Alarm.com Incorporated
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Bojana Gajic, Brent Boekestein
  • Publication number: 20230140505
    Abstract: Various embodiments described herein provide for analysis of a video using a scanning technique. According to some embodiments, a video is analyzed by scanning a region of interest in a series of frames of the video, and generating a composite image based on the pixels captured by the scanning operation.
    Type: Application
    Filed: October 28, 2021
    Publication date: May 4, 2023
    Inventors: Ariel Amato, Diego Antelo, Sergio Sancho Asencio, Francesco Brughi, Mathias Bertorelli Argibay, Brent Boekestein
  • Publication number: 20220076083
    Abstract: Various embodiments described herein provide for detection of a particular object within a scene depicted by image data by using a coarse-to-fine approach/strategy based on one or more relationships of objects depicted within the scene.
    Type: Application
    Filed: June 11, 2021
    Publication date: March 10, 2022
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Bojana Gajic, Brent Boekestein
  • Publication number: 20220044066
    Abstract: Various embodiments described herein provide for a neural network tailored, based on user-provided input data, to detect user-specified objects in image data. An architecture of an embodiment may use unlabeled data from the user, such as a set of images from a video camera stream, while parameters of a tailored neural network (CNN) are trained or adapted.
    Type: Application
    Filed: July 9, 2021
    Publication date: February 10, 2022
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Brent Boekestein
  • Patent number: 11093793
    Abstract: Various embodiments described herein provide for a neural network tailored, based on user-provided input data, to detect user-specified objects in image data. An architecture of an embodiment may use unlabeled data from the user, such as a set of images from a video camera stream, while parameters of a tailored neural network (CNN) are trained or adapted.
    Type: Grant
    Filed: August 29, 2017
    Date of Patent: August 17, 2021
    Assignee: Vintra, Inc.
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Brent Boekestein
  • Patent number: 11055585
    Abstract: Various embodiments described herein provide for detection of a particular object within a scene depicted by image data by using a coarse-to-fine approach/strategy based on one or more relationships of objects depicted within the scene.
    Type: Grant
    Filed: September 26, 2019
    Date of Patent: July 6, 2021
    Assignee: Vintra, Inc.
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Bojana Gajic, Brent Boekestein
  • Publication number: 20210097354
    Abstract: Various embodiments described herein provide for detection of a particular object within a scene depicted by image data by using a coarse-to-fine approach/strategy based on one or more relationships of objects depicted within the scene.
    Type: Application
    Filed: September 26, 2019
    Publication date: April 1, 2021
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Bojana Gajic, Brent Boekestein
  • Publication number: 20190065901
    Abstract: Various embodiments described herein provide for a neural network tailored, based on user-provided input data, to detect user-specified objects in image data. An architecture of an embodiment may use unlabeled data from the user, such as a set of images from a video camera stream, while parameters of a tailored neural network (CNN) are trained or adapted.
    Type: Application
    Filed: August 29, 2017
    Publication date: February 28, 2019
    Inventors: Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Brent Boekestein