Patents by Inventor Jeffrey David Smith

Jeffrey David Smith 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: 20230037128
    Abstract: Reservations of resources within a dynamic workspace are made and facilitated including by pushing configurations specific to a worker for whom a reservation is made to the resource for a limited time period for the reservation. When the worker arrives for the reservation and checks in, configurations associated with the worker are obtained and pushed to the resource to configure the resource for use by the worker for a time period of the reservation. In some cases, an identity of the worker may be verified to complete the check in process for the reservation. In response to an end time of the reservation being determined, such as based on a scheduled end time for the reservation or based on a determination that the resource has gone unused for some amount of time, the configurations are removed from the resource to prepare the resource for use by a next worker.
    Type: Application
    Filed: July 29, 2021
    Publication date: February 2, 2023
    Inventors: Cynthia Eshiuan Lee, Harold David Moseley, Jeffrey William Smith
  • Publication number: 20230031176
    Abstract: The future presence of a worker in a dynamic workspace which includes resources for temporary use may be signaled to other workers. In response a first worker making a reservation of a resource, a second worker to indicate the future presence of that first worker to is determined based on communication records associated with the first worker and the second worker. An indication of the reservation of the resource for the first worker, and thus the future presence of that first worker in an office which includes that reserved resource, is accordingly signaled to the second worker. A suggested resource for the second worker may then be determined based on the reservation of the resource for the first worker. In response to the second worker making a reservation of the suggested resource, a reservation record indicating the reservation of the suggested resource for the second worker may then be generated.
    Type: Application
    Filed: July 29, 2021
    Publication date: February 2, 2023
    Inventors: Cynthia Eshiuan Lee, Harold David Moseley, Jeffrey William Smith
  • Publication number: 20230013338
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 19, 2023
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Patent number: 11514497
    Abstract: A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.
    Type: Grant
    Filed: September 2, 2020
    Date of Patent: November 29, 2022
    Assignee: Toshiba Global Commerce Solutions Holdings Corporation
    Inventors: John David Landers, Jr., Dean Frederick Herring, Brad Matthew Johnson, Jeffrey John Smith, David John Steiner, Phuc Ky Do
  • Patent number: 11488419
    Abstract: Implementations of the present disclosure include receiving a color image and an IR image, the IR image taken contemporaneously with the color image, providing a set of facial landmarks depicted in the color image, determining a depth value for each facial landmark in the set of color landmarks, depth values being provided from the IR image, determining an average depth difference based on at least a sub-set of facial landmarks in the set of facial landmarks, comparing the average depth difference to a difference threshold to provide a comparison, and selectively authenticating the person based on the comparison.
    Type: Grant
    Filed: February 19, 2021
    Date of Patent: November 1, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Jeffrey James Wolf, Michael James Smith, Christopher J. McClellan, Matthew Francis Keller, Evan Robert Thompson, Johnathan David MacGregor
  • Publication number: 20220269271
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Application
    Filed: March 11, 2022
    Publication date: August 25, 2022
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Publication number: 20220197284
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Application
    Filed: March 11, 2022
    Publication date: June 23, 2022
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Patent number: 11281221
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: March 22, 2022
    Assignee: Nvidia Corporation
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Publication number: 20200341469
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Application
    Filed: July 6, 2020
    Publication date: October 29, 2020
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Patent number: 10705525
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: July 7, 2020
    Assignee: NVIDIA Corporation
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Publication number: 20190102953
    Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.
    Type: Application
    Filed: November 16, 2018
    Publication date: April 4, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Megan Ann Lindsay, Michael Scavezze, Aaron Daniel Krauss, Michael Thomas, Richard Wifall, Jeffrey David Smith, Cameron Brown, Charlene Jeune, Cheyne Rory Quin Mathey-Owens
  • Patent number: 10176641
    Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.
    Type: Grant
    Filed: October 20, 2016
    Date of Patent: January 8, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Megan Ann Lindsay, Michael Scavezze, Aaron Daniel Krauss, Michael Thomas, Richard Wifall, Jeffrey David Smith, Cameron Brown, Charlene Jeune, Cheyne Rory Quin Mathey-Owens
  • Publication number: 20180292825
    Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
    Type: Application
    Filed: March 28, 2018
    Publication date: October 11, 2018
    Inventors: Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
  • Publication number: 20170270715
    Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.
    Type: Application
    Filed: October 20, 2016
    Publication date: September 21, 2017
    Inventors: Megan Ann Lindsay, Michael Scavezze, Aaron Daniel Krauss, Michael Thomas, Richard Wifall, Jeffrey David Smith, Cameron Brown, Charlene Jeune, Cheyne Rory Quin Mathey-Owens