Patents by Inventor William Ryan SMITH

William Ryan 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).

  • Patent number: 10712727
    Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: July 14, 2020
    Assignee: XOMETRY, INC.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20200183355
    Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.
    Type: Application
    Filed: February 10, 2020
    Publication date: June 11, 2020
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Patent number: 10558195
    Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: February 11, 2020
    Assignee: XOMETRY, INC.
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler
  • Publication number: 20200000180
    Abstract: One aspect of this disclosure is a method comprising: receiving, from a camera, a video feed depicting a pair of feet and a scaling object; capturing, with the camera, images of the feet and the scaling object based on the video feed; identifying foot features in each captured image; determining camera positions for each captured image by triangulating the foot features; generating a point cloud in a three-dimensional space by positioning each foot feature in the three-dimensional space based on the camera positions; scaling the point cloud based on the scaling object; segmenting the point cloud into at least a right-foot cluster and a left-foot cluster; fitting a first three-dimensional morphable model to the right-foot cluster according to first foot parameters; and fitting a second three-dimensional morphable model to the left-foot cluster according to second foot parameters. Related systems, apparatus, and methods also are described.
    Type: Application
    Filed: February 16, 2018
    Publication date: January 2, 2020
    Inventors: Jamie Roy SHERRAH, Michael HENSON, William Ryan SMITH
  • Publication number: 20190349426
    Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.
    Type: Application
    Filed: December 28, 2017
    Publication date: November 14, 2019
    Applicant: Intel Corporation
    Inventors: Ned M. Smith, Keith Nolan, Mark Kelly, Gregory Burns, Michael Nolan, John Brady, Cliodhna Ni Scanaill, Niall Cahill, Thiago Macieira, Zheng Zhang, Glen J. Anderson, Igor Muttik, Davide Carboni, Eugene Ryan, Richard Davies, Toby M. Kohlenberg, Maarten Koning, Jakub Wenus, Rajesh Poornachandran, William C. Deleeuw, Ravikiran Chukka
  • Publication number: 20190271966
    Abstract: The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.
    Type: Application
    Filed: April 26, 2019
    Publication date: September 5, 2019
    Inventors: Valerie R. Coffman, Yuan Chen, Luke S. Hendrix, William J. Sankey, Joshua Ryan Smith, Daniel Wheeler