Patents by Inventor Jonathan Byrne

Jonathan Byrne 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: 11929802
    Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: March 12, 2024
    Assignee: Apple Inc.
    Inventors: Feng Xue, Mustafa Akdeniz, Seong-Youp John Suh, Shu-Ping Yeh, Eduardo Alban, Philippe Auzas, Jonathan Byrne, Mark Davis, David Gomez Gutierrez, Timo Huusari, Bradley Alan Jackson, Ranganadh Karella, Sreenivas Kasturi, Mengkun Ke, Ching-Yu Liao, Tiefeng Shi, Daniel Tong, Candy Yiu
  • Patent number: 11900649
    Abstract: Methods, systems, articles of manufacture and apparatus to generate digital scenes are disclosed. An example apparatus to generate labelled models includes a map builder to generate a three-dimensional (3D) model of an input image, a grouping classifier to identify a first zone of the 3D model corresponding to a first type of grouping classification, a human model builder to generate a quantity of placeholder human models corresponding to the first zone, a coordinate engine to assign the quantity of placeholder human models to respective coordinate locations of the first zone, the respective coordinate locations assigned based on the first type of grouping classification, a model characteristics modifier to assign characteristics associated with an aspect type to respective ones of the quantity of placeholder human models, and an annotation manager to associate the assigned characteristics as label data for respective ones of the quantity of placeholder human models.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: February 13, 2024
    Assignee: Movidius Limited
    Inventors: Kevin Lee, Anton Shmatov, Jonathan Byrne, David Moloney
  • Publication number: 20230108018
    Abstract: The invention provides a hydrolytically stabilised phosphite composition, comprising: a. a phosphite antioxidant which is a liquid at ambient conditions and comprises a blend of at least two different phosphites of Formula I: wherein R1, R2 and R3 are independently selected alkylated aryl groups of Formula II: wherein R4, R5 and R6 are independently selected from the group consisting of hydrogen and C1 to C6 alkyl, provided that at least one of R4, R5 and R6 in each phosphite is selected from the group consisting of tert-butyl and/or tert-pentyl; and b. a nitrogen-containing compound comprising a nitrogen atom, wherein the nitrogen atom: i. has a pKaH value of from about 7 to about 11; and ii. is sp3 hybridised, and wherein the nitrogen-containing compound is absent any labile protons.
    Type: Application
    Filed: March 11, 2021
    Publication date: April 6, 2023
    Inventors: Jonathan Hill, Jonathan Byrne
  • Publication number: 20230007970
    Abstract: Methods, systems, articles of manufacture and apparatus to generate digital scenes are disclosed. An example apparatus to generate labelled models includes a map builder to generate a three-dimensional (3D) model of an input image, a grouping classifier to identify a first zone of the 3D model corresponding to a first type of grouping classification, a human model builder to generate a quantity of placeholder human models corresponding to the first zone, a coordinate engine to assign the quantity of placeholder human models to respective coordinate locations of the first zone, the respective coordinate locations assigned based on the first type of grouping classification, a model characteristics modifier to assign characteristics associated with an aspect type to respective ones of the quantity of placeholder human models, and an annotation manager to associate the assigned characteristics as label data for respective ones of the quantity of placeholder human models.
    Type: Application
    Filed: June 28, 2022
    Publication date: January 12, 2023
    Inventors: Kevin Lee, Anton Shmatov, Jonathan Byrne, David Moloney
  • Patent number: 11393228
    Abstract: Methods, systems, articles of manufacture and apparatus to generate digital scenes are disclosed. An example apparatus to generate labelled models includes a map builder to generate a three-dimensional (3D) model of an input image, a grouping classifier to identify a first zone of the 3D model corresponding to a first type of grouping classification, a human model builder to generate a quantity of placeholder human models corresponding to the first zone, a coordinate engine to assign the quantity of placeholder human models to respective coordinate locations of the first zone, the respective coordinate locations assigned based on the first type of grouping classification, a model characteristics modifier to assign characteristics associated with an aspect type to respective ones of the quantity of placeholder human models, and an annotation manager to associate the assigned characteristics as label data for respective ones of the quantity of placeholder human models.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: July 19, 2022
    Assignee: Movidius Limited
    Inventors: Kevin Lee, Anton Shmatov, Jonathan Byrne, David Moloney
  • Publication number: 20220069876
    Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.
    Type: Application
    Filed: November 27, 2019
    Publication date: March 3, 2022
    Inventors: Feng XUE, Mustafa AKDENIZ, Seong-Youp John SUH, Shu-ping YEH, Eduardo ALBAN, Philippe AUZAS, Jonathan BYRNE, Mark DAVIS, David GOMEZ GUTIERREZ, Timo HUUSARI, Bradley Alan JACKSON, Ranganadh KARELLA, Sreenivas KASTURI, Mengkun KE, Ching-Yu LIAO, Tiefeng SHI, Daniel TONG, Candy YIU
  • Publication number: 20210073640
    Abstract: Methods, apparatus, systems and articles of manufacture to reconstruct scenes using convolutional neural networks are disclosed. An example apparatus includes a sensor data acquirer to acquire ground truth data representing an environment, an environment detector to identify an environmental characteristic of the environment, a synthetic database builder to apply noise to the ground truth data to form a training set, a model builder to train a machine learning model using the training set and the ground truth data, and a model adjustor to modify the machine learning model to include residual OR-gate connections intermediate respective layers of the machine learning model. The synthetic database builder is further to store the machine learning model in association with the environmental characteristic of the environment.
    Type: Application
    Filed: November 20, 2020
    Publication date: March 11, 2021
    Inventors: Alessandro PALLA, Jonathan BYRNE, David MOLONEY
  • Publication number: 20210027044
    Abstract: Methods, systems, articles of manufacture and apparatus to generate digital scenes are disclosed. An example apparatus to generate labelled models includes a map builder to generate a three-dimensional (3D) model of an input image, a grouping classifier to identify a first zone of the 3D model corresponding to a first type of grouping classification, a human model builder to generate a quantity of placeholder human models corresponding to the first zone, a coordinate engine to assign the quantity of placeholder human models to respective coordinate locations of the first zone, the respective coordinate locations assigned based on the first type of grouping classification, a model characteristics modifier to assign characteristics associated with an aspect type to respective ones of the quantity of placeholder human models, and an annotation manager to associate the assigned characteristics as label data for respective ones of the quantity of placeholder human models.
    Type: Application
    Filed: March 28, 2019
    Publication date: January 28, 2021
    Inventors: Kevin Lee, Anton Shmatov, Jonathan Byrne, David Moloney
  • Patent number: 6627878
    Abstract: A system for sampling the ambient air of a selected environment for the presence of unwanted chemical vapors, such as nerve or blister gases includes an external air sampling unit and a detector unit having first and second ion mobility spectrometers which simultaneously detect and monitor for the presence of the chemical agent vapors so as to provide an accurate and quick determination of the unwanted chemical vapor within the selected environment.
    Type: Grant
    Filed: May 9, 2001
    Date of Patent: September 30, 2003
    Assignee: The United States of America as represented by the Secretary of the Navy
    Inventors: Kevin J. Machlinski, Michael A. Pompeii, Gregory P. Johnson, Robert A. Fitzgerald, Jonathan A. Byrne
  • Patent number: 6372184
    Abstract: A system for detecting chemical warfare agents is disclosed. The system uses a detector paper that stains upon contact with liquid chemical agent droplets and spectrophotometry technology, in cooperation with a spectral filter wheel, and a processor, to analyze the stain and determine if the stain is created by a chemical warfare agent.
    Type: Grant
    Filed: July 6, 2000
    Date of Patent: April 16, 2002
    Assignee: The United States of America as represented by the Secretary of the Navy
    Inventors: Diane M. LaMoy, Michael A. Pompeii, Gregory P. Johnson, Jonathan A. Byrne, H. Stuart Brooks, Marc R. Carlson, Michael T. Duckett