Patents by Inventor Tim Ellis

Tim Ellis 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: 10921782
    Abstract: Methods for control of post-design free form deposition processes or joining processes are described that utilize machine learning algorithms to improve fabrication outcomes. The machine learning algorithms use real-time object property data from one or more sensors as input, and are trained using training data sets that comprise: i) past process simulation data, past process characterization data, past in-process physical inspection data, or past post-build physical inspection data, for a plurality of objects that comprise at least one object that is different from the object to be fabricated; and ii) training data generated through a repetitive process of randomly choosing values for each of one or more input process control parameters and scoring adjustments to process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: February 16, 2021
    Assignee: RELATIVITY SPACE, INC.
    Inventors: Edward Mehr, Tim Ellis, Jordan Noone
  • Publication number: 20210014477
    Abstract: Embodiments provide a camera design (e.g., an eyeball camera) that mimics a human eye in geometry, optical performance and/or motion. The eyeball camera adopts the same cornea and pupil geometry from the human eye, and has the iris and pupil configured with multiple texture, color or diameter options. The resolution of the eyeball camera is designed to match the acuity of typical 20/20 human vision, and focus is adjusted from 0 to 4 diopters. A pair of eyeball cameras are mounted independently on two hexapods to simulate the human eye gaze and vergence. The perceived virtual and real world are calibrated and evaluated based on eye conditions like pupil location and gaze using the eyeball cameras. The eyeball camera serves as a bridge to combine the data from spatial computing like eye tracking, 3D geometry of the digital world, display color accuracy/uniformity, and display optical quality (sharpness, contrast, etc.).
    Type: Application
    Filed: July 10, 2020
    Publication date: January 14, 2021
    Applicant: Magic Leap, Inc.
    Inventors: Zhiheng Jia, Jeffrey Todd Daiker, Tim Ellis, Xiao Li, Jeremy A. Grata
  • Patent number: 10732590
    Abstract: A method for energy management is described. In one embodiment, an aspect of a dwelling is monitored. The monitored aspect of the dwelling is compared to an energy policy to determine a deviation of the monitored aspect of the dwelling from a setting of the energy policy. A notification is sent to an occupant, the notification comprising the deviation of the monitored aspect of the dwelling from the setting of the energy policy.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: August 4, 2020
    Assignee: Vivint, Inc.
    Inventors: Jeremy B. Warren, Matthew J. Eyring, James Ellis Nye, Jungtaik Hwang, Tim Lott, Luke Langford, Wade Shearer
  • Publication number: 20200166909
    Abstract: Machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of manufacturing processes are described.
    Type: Application
    Filed: November 19, 2019
    Publication date: May 28, 2020
    Inventors: Jordan NOONE, Tim ELLIS
  • Publication number: 20200096970
    Abstract: Methods for control of post-design free form deposition processes or joining processes are described that utilize machine learning algorithms to improve fabrication outcomes. The machine learning algorithms use real-time object property data from one or more sensors as input, and are trained using training data sets that comprise: i) past process simulation data, past process characterization data, past in-process physical inspection data, or past post-build physical inspection data, for a plurality of objects that comprise at least one object that is different from the object to be fabricated; and ii) training data generated through a repetitive process of randomly choosing values for each of one or more input process control parameters and scoring adjustments to process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments.
    Type: Application
    Filed: November 26, 2019
    Publication date: March 26, 2020
    Inventors: Edward MEHR, Tim ELLIS, Jordan NOONE
  • Patent number: 10539952
    Abstract: Methods for control of post-design free form deposition processes or joining processes are described that utilize machine learning algorithms to improve fabrication outcomes. The machine learning algorithms use real-time object property data from one or more sensors as input, and are trained using training data sets that comprise: i) past process simulation data, past process characterization data, past in-process physical inspection data, or past post-build physical inspection data, for a plurality of objects that comprise at least one object that is different from the object to be fabricated; and ii) training data generated through a repetitive process of randomly choosing values for each of one or more input process control parameters and scoring adjustments to process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: January 21, 2020
    Assignee: Relativity Space, Inc.
    Inventors: Edward Mehr, Tim Ellis, Jordan Noone
  • Publication number: 20190227525
    Abstract: Disclosed herein are machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of additive manufacturing and/or welding processes.
    Type: Application
    Filed: December 27, 2018
    Publication date: July 25, 2019
    Inventors: Edward MEHR, Tim ELLIS, Jordan NOONE
  • Patent number: 10338439
    Abstract: This application is directed to detecting touch events using a display pixel array. The display pixel array includes display pixels each of which is disposed between a display electrode and a common electrode. For touch sensing, a processing device drives the subset of common electrodes with an integration voltage that varies by a voltage variation at a predetermined slew rate. The processing device also drives a subset of display electrodes corresponding to the subset of common electrodes in a synchronous manner, thereby reducing an impact of parasitic capacitance associated with the subset of common electrodes. Each of the subset of display electrodes is driven with an adjusted display voltage that varies by the voltage variation at the predetermined slew rate. While driving the subsets of common and display electrodes, a capacitive sense signal associated with the subset of common electrodes is measured at an output of a capacitance sense circuit.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: July 2, 2019
    Assignee: PARADE TECHNOLOGIES, LTD.
    Inventors: Denis Ellis, Maksym Prybytko, Tim McCarthy
  • Patent number: 10234848
    Abstract: Methods for control of post-design free form deposition processes or joining processes are described that utilize machine learning algorithms to improve fabrication outcomes. The machine learning algorithms use real-time object property data from one or more sensors as input, and are trained using training data sets that comprise: i) past process simulation data, past process characterization data, past in-process physical inspection data, or past post-build physical inspection data, for a plurality of objects that comprise at least one object that is different from the object to be fabricated; and ii) training data generated through a repetitive process of randomly choosing values for each of one or more input process control parameters and scoring adjustments to process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments.
    Type: Grant
    Filed: May 24, 2017
    Date of Patent: March 19, 2019
    Assignee: Relativity Space, Inc.
    Inventors: Edward Mehr, Tim Ellis, Jordan Noone
  • Publication number: 20180341248
    Abstract: Disclosed herein are machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of additive manufacturing and/or welding processes.
    Type: Application
    Filed: May 24, 2017
    Publication date: November 29, 2018
    Inventors: Edward MEHR, Tim ELLIS, Jordan NOONE
  • Publication number: 20170147962
    Abstract: Disclosed is a method of and system for managing service requests. The method may include determining, with a processor, a Service Level Agreement (SLA) target associated with each service request of a plurality of service requests. Additionally, the method may include determining, with a processor, a target delivery time corresponding to each service request of the plurality of service requests. A target delivery time of a service request may be determined based on each of an origin time and a SLA target associated with the service request. Furthermore, the method may include determining, with a processor, a priority value corresponding to each service request of the plurality of service requests. The priority value corresponding to a service request may be determined based on at least one of the origin time of the service request and the target delivery time of the service request.
    Type: Application
    Filed: November 25, 2015
    Publication date: May 25, 2017
    Inventors: Ron Ijack, Kevin Pickard, Vivek Thomas, Magda Nedelcu, Tim Ellis, Sean Snider
  • Patent number: 7281821
    Abstract: A beacon light member including a housing configured to be attached to a base member of a beacon light, the base member of the beacon light configured to utilize an incandescent light source. A power supply contained in the housing is configured to electrically connect to a power point in the base member. At least one light emitting diode (LED) light source is contained in the housing. A beacon light including a first base member, a second member, and at least one incandescent light source can also be retrofit. Under the retrofitting method, the at least one incandescent light source is removed, the second member is removed, and the second member is replaced with a beacon light module including at least one light emitting diode (LED) light source.
    Type: Grant
    Filed: October 30, 2002
    Date of Patent: October 16, 2007
    Assignee: Dialight Corporation
    Inventors: Robert L. Martin, Tim Ellis, Douglas E. Woehler, Chenhua You, Peter C. Wong
  • Publication number: 20040085764
    Abstract: A beacon light member including a housing configured to be attached to a base member of a beacon light, the base member of the beacon light configured to utilize an incandescent light source. A power supply contained in the housing is configured to electrically connect to a power point in the base member. At least one light emitting diode (LED) light source is contained in the housing. A beacon light including a first base member, a second member, and at least one incandescent light source can also be retrofit. Under the retrofitting method, the at least one incandescent light source is removed, the second member is removed, and the second member is replaced with a beacon light module including at least one light emitting diode (LED) light source.
    Type: Application
    Filed: October 30, 2002
    Publication date: May 6, 2004
    Applicant: DIALIGHT CORPORATION
    Inventors: Robert L. Martin, Tim Ellis, Douglas E. Woehler, Chenhua You, Peter C. Wong