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Zachary O Morsbach

age ~49

from Cedar Park, TX

Also known as:
  • Zachary Orlynn Morsbach
  • Zach Morsbach
  • Zack Morsbach
  • Zachery Morsbach
  • Zachary Morsback
  • Zachary H
Phone and address:
4512 Zacharys Run, Cedar Park, TX 78613
713 397-1821

Zachary Morsbach Phones & Addresses

  • 4512 Zacharys Run, Cedar Park, TX 78613 • 713 397-1821
  • Austin, TX
  • 1175 Forest Bluff Trl, Round Rock, TX 78664 • 512 733-0527
  • Georgetown, TX
  • Waukegan, IL
  • Sinton, TX
  • 1175 Forest Bluff Trl, Round Rock, TX 78665 • 512 731-5702

Work

  • Position:
    Food Preparation and Serving Related Occupations

Education

  • Degree:
    High school graduate or higher

Us Patents

  • Transportation Analytics Employing Timed Fingerprint Location Information

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  • US Patent:
    20130103290, Apr 25, 2013
  • Filed:
    Oct 20, 2011
  • Appl. No.:
    13/277595
  • Inventors:
    Stephen Thomas Hardin - Suwanee GA, US
    Thomas Rodger Becker - Atlanta GA, US
    Charles A. Carey - Kirkland WA, US
    Zachary Orlynn Morsbach - Cedar Park TX, US
    Brad Webb - Katy TX, US
  • Assignee:
    AT&T MOBILITY II LLC - Atlanta GA
  • International Classification:
    G06F 15/00
    G08G 1/07
  • US Classification:
    701117, 702150
  • Abstract:
    The disclosed subject matter provides for traffic analysis employing timed fingerprint location information. In an aspect, TFL information can be associated with location characteristics for a UE. These location characteristics can describe the motion of the UE. As such, with proper analysis, the motion of the UE can be correlated to traffic patterns. Transportation analytics can employ TFL information to provide real time or near real time traffic information, forecast traffic conditions, or automate response to traffic conditions based on TFL information. Whereas TFL can provide advantages over other types of location information systems, leveraging TFL information in traffic analysis can reflect these advantages. Further, whereas TFL information can be gathered from nearly all modern and many legacy mobile devices, large volumes of TFL information can be employed in related transportation analytics.
  • Transportation Analytics Employing Timed Fingerprint Location Information

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  • US Patent:
    20160033285, Feb 4, 2016
  • Filed:
    Oct 13, 2015
  • Appl. No.:
    14/881335
  • Inventors:
    - Atlanta GA, US
    Thomas Rodger Becker - Atlanta GA, US
    Charles A. Carey - Kirkland WA, US
    Zachary Orlynn Morsbach - Cedar Park TX, US
    Johnathan Bradley Webb - Katy TX, US
  • International Classification:
    G01C 21/20
    G01C 23/00
    H04W 4/02
  • Abstract:
    The disclosed subject matter provides for traffic analysis employing timed fingerprint location information. In an aspect, TFL information can be associated with location characteristics for a UE. These location characteristics can describe the motion of the UE. As such, with proper analysis, the motion of the UE can be correlated to traffic patterns. Transportation analytics can employ TFL information to provide real time or near real time traffic information, forecast traffic conditions, or automate response to traffic conditions based on TFL information. Whereas TFL can provide advantages over other types of location information systems, leveraging TFL information in traffic analysis can reflect these advantages. Further, whereas TFL information can be gathered from nearly all modern and many legacy mobile devices, large volumes of TFL information can be employed in related transportation analytics.
  • Providing Wireless Control Of A Visual Aid Based On Movement Detection

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  • US Patent:
    20140157130, Jun 5, 2014
  • Filed:
    Dec 5, 2012
  • Appl. No.:
    13/705945
  • Inventors:
    - Atlanta GA, US
    Stephen T. Hardin - Suwanee GA, US
    Zachary O. Morsbach - Cedar Park TX, US
  • Assignee:
    AT&T Mobility II, LLC - Atlanta GA
  • International Classification:
    G06F 3/0484
  • US Classification:
    715730
  • Abstract:
    A system for providing wireless control of a visual aid based on movement detection is disclosed. The system also enables a presenter to gesture at a visual aid and have a pointer be displayed on screens displaying the visual aid. The system may generate a three-dimensional depth image of an environment including a user and a device displaying the visual aid. Additionally, the system may determine a position of the user relative to the environment and to the device based on the three-dimensional image. Furthermore, the system may detect a gesture based on the position of the user and the three-dimensional depth image. If the gesture made by the user matches a predetermined input gesture corresponding to a controller operation for controlling the visual aid, then the controller operation may be executed. The system may display an output of the executed controller operation at a remote device.

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