Jason M Meltzer

from Los Angeles, CA

Jason Meltzer Phones & Addresses

  • Los Angeles, CA

Resumes

Jason Meltzer Photo 1

Chief Executive Officer And Co- Founder

view source
Location:
2002 4Th St, Santa Monica, CA 90405
Industry:
Consumer Services
Work:
Stealthmode.shhh
Chief Executive Officer and Co- Founder

Basepaws
Advisor

Hypersciences
Investor

Inside.com
Investor

Knightscope
Investor
Education:
Arizona State University 2002 - 2007
Bachelors, Bachelor of Arts, Psychology, Business
Calabasas High School 1998 - 2002
Skills:
Social Media
Marketing
Public Relations
Sales
Crm
Start Ups
Integrated Marketing
Social Media Marketing
Entrepreneurship
Dogs
Leadership
Account Management
Management
Social Networking
Marketing Strategy
New Business Development
E Commerce
Online Marketing
Fundraising
Sales Management
Advertising
Digital Marketing
Training
Online Advertising
Digital Media
Sponsorship
Strategic Planning
Brand Management
User Interface Design
Online Research
Business Development
Advertising Sales
Small Business
Seo
Marketing Communications
Strategy
Email Marketing
Lead Generation
Customer Service
Deal Closure
Mobile Technology
User Experience
Corporate Communications
Facebook
Sales Presentations
Team Building
Presenter
Seed Capital
Supply Chain Management
Investments
Pets
Pet Sitting
Dog Walking
Interests:
Animal Welfare
Environment
Science and Technology
Languages:
English
Jason Meltzer Photo 2

Jason Meltzer

view source
Name / Title
Company / Classification
Phones & Addresses
Jason Meltzer
SurfDog LA
Pet Sitters · Dog Walkers · Pooper Scoopers
2002 4, Santa Monica, CA 90405
3233645291
Jason Meltzer
Wag!
Dog Walkers
1750 N Sierra Bonita Ave, Los Angeles, CA 90046
3234871924

Us Patents

  • Video Customization And Presentation Systems And Methods

    view source
  • US Patent:
    8451325, May 28, 2013
  • Filed:
    Jan 24, 2010
  • Appl. No.:
    12/692635
  • Inventors:
    Daniel A. Birnbaum - Los Angeles CA, US
    Jason T. Meltzer - Los Angeles CA, US
  • Assignee:
    Sightcine Inc. - Los Angeles CA
  • International Classification:
    H04N 9/31
  • US Classification:
    348 53, 348 55, 348598
  • Abstract:
    A disclosed projection system includes a display that renders a video representing a sequence of original images each having a corresponding frame interval, and one or more viewing device(s). During each frame interval, multiple subimages are displayed that, in some cases, average together to approximate an original image corresponding to that frame interval. The viewing device(s) attenuate each of the subimages by a respective coefficient to synthesize a target image for each frame interval. The system may include additional viewing device(s) that apply attenuation coefficients to the subimages to synthesize a second, different target image for each frame interval. A described projection method includes displaying multiple subimages in each frame interval, and transmitting attenuation coefficients to the viewing device(s). A disclosed movie customization system includes software that causes processor(s) to process each of multiple original video images to determine the corresponding subimages and weight coefficients.
  • Simultaneous Localization And Mapping Using Multiple View Feature Descriptors

    view source
  • US Patent:
    20050238200, Oct 27, 2005
  • Filed:
    Dec 22, 2004
  • Appl. No.:
    11/021672
  • Inventors:
    Rakesh Gupta - Mountain View CA, US
    Ming-Hsuan Yang - Mountain View CA, US
    Jason Meltzer - Los Angeles CA, US
  • International Classification:
    G06K009/00
    G06K009/62
    G06K009/46
  • US Classification:
    382103000, 382159000, 382190000
  • Abstract:
    Simultaneous localization and mapping (SLAM) utilizes multiple view feature descriptors to robustly determine location despite appearance changes that would stifle conventional systems. A SLAM algorithm generates a feature descriptor for a scene from different perspectives using kernel principal component analysis (KPCA). When the SLAM module subsequently receives a recognition image after a wide baseline change, it can refer to correspondences from the feature descriptor to continue map building and/or determine location. Appearance variations can result from, for example, a change in illumination, partial occlusion, a change in scale, a change in orientation, change in distance, warping, and the like. After an appearance variation, a structure-from-motion module uses feature descriptors to reorient itself and continue map building using an extended Kalman Filter. Through the use of a database of comprehensive feature descriptors, the SLAM module is also able to refine a position estimation despite appearance variations.
  • Systems And Methods For Performing Occlusion Detection

    view source
  • US Patent:
    20190337151, Nov 7, 2019
  • Filed:
    Jul 15, 2019
  • Appl. No.:
    16/511119
  • Inventors:
    - Bedford MA, US
    Jason Meltzer - Pasadena CA, US
    Marc Barnada Rius - La Cellera De Ter, EE
  • International Classification:
    B25J 9/16
    G05D 1/02
  • Abstract:
    The present invention provides a mobile robot configured to navigate an operating environment, that includes a machine vision system comprising a camera that captures images of the operating environment using a machine vision system; detects the presence of an occlusion obstructing a portion of the field of view of a camera based on the captured images, and generate a notification when an occlusion obstructing the portion of the field of view of the camera is detected, and maintain occlusion detection data describing occluded and unobstructed portions of images being used by the SLAM application.
  • Systems And Methods For Performing Occlusion Detection

    view source
  • US Patent:
    20170305010, Oct 26, 2017
  • Filed:
    Jul 11, 2017
  • Appl. No.:
    15/646782
  • Inventors:
    - Bedford MA, US
    Jason Meltzer - Pasadena CA, US
    Marc Barnada Rius - La Cellera de Ter, ES
  • International Classification:
    B25J 9/16
    G05D 1/02
    B25J 9/16
    G05D 1/02
  • Abstract:
    The present invention provides a mobile robot configured to navigate an operating environment, that includes a machine vision system comprising a camera that captures images of the operating environment using a machine vision system; detects the presence of an occlusion obstructing a portion of the field of view of a camera based on the captured images, and generate a notification when an occlusion obstructing the portion of the field of view of the camera is detected, and maintain occlusion detection data describing occluded and unobstructed portions of images being used by the SLAM application.
  • Robot Management Systems For Determining Docking Station Pose Including Mobile Robots And Methods Using Same

    view source
  • US Patent:
    20170105592, Apr 20, 2017
  • Filed:
    Dec 23, 2016
  • Appl. No.:
    15/389926
  • Inventors:
    - Bedford MA, US
    Jason Meltzer - Los Angeles CA, US
    Jens-Steffen Gutmann - Cupertino CA, US
    Vazgen Karapetyan - Pasadena CA, US
    Mario E. Munich - La Canada CA, US
  • International Classification:
    A47L 9/28
    B25J 9/16
    B25J 11/00
    H02J 7/00
    B25J 19/00
    G05D 1/02
    A47L 9/30
    B25J 5/00
    B25J 13/00
  • Abstract:
    A mobile robot system is provided that includes a docking station having at least two pose-defining fiducial markers. The pose-defining fiducial markers have a predetermined spatial relationship with respect to one another and/or to a reference point on the docking station such that a docking path to the base station can be determined from one or more observations of the at least two pose-defining fiducial markers. A mobile robot in the system includes a pose sensor assembly. A controller is located on the chassis and is configured to analyze an output signal from the pose sensor assembly. The controller is configured to determine a docking station pose, to locate the docking station pose on a map of a surface traversed by the mobile robot and to path plan a docking trajectory.
  • Method For Object Localization And Pose Estimation For An Object Of Interest

    view source
  • US Patent:
    20170032220, Feb 2, 2017
  • Filed:
    Jul 28, 2015
  • Appl. No.:
    14/811062
  • Inventors:
    - Detroit MI, US
    Jason Meltzer - Los Angeles CA, US
    Jiejun Xu - Chino CA, US
    Zhichao Chen - Woodland Hills CA, US
    Rashmi N. Sundareswara - Los Angeles CA, US
    David W. Payton - Calabasas CA, US
    Ryan M. Uhlenbrock - Los Angeles CA, US
    Leandro G. Barajas - Harvest AL, US
    Kyungnam Kim - Oak Park CA, US
  • Assignee:
    GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI
  • International Classification:
    G06K 9/62
    G06T 7/00
    G06T 7/20
    G06K 9/46
    G01B 11/00
    G06T 3/00
  • Abstract:
    A method for localizing and estimating a pose of a known object in a field of view of a vision system is described, and includes developing a processor-based model of the known object, capturing a bitmap image file including an image of the field of view including the known object, extracting features from the bitmap image file, matching the extracted features with features associated with the model of the known object, localizing an object in the bitmap image file based upon the extracted features, clustering the extracted features of the localized object, merging the clustered extracted features, detecting the known object in the field of view based upon a comparison of the merged clustered extracted features and the processor-based model of the known object, and estimating a pose of the detected known object in the field of view based upon the detecting of the known object.
  • Robot Management Systems For Determining Docking Station Pose Including Mobile Robots And Methods Using Same

    view source
  • US Patent:
    20160143500, May 26, 2016
  • Filed:
    Nov 20, 2015
  • Appl. No.:
    14/947277
  • Inventors:
    - Bedford MA, US
    Jason Meltzer - Los Angeles CA, US
    Jens-Steffen Gutmann - Cupertino CA, US
    Vazgen Karapetyan - Pasadena CA, US
    Mario E. Munich - La Canada CA, US
  • International Classification:
    A47L 9/28
    B25J 11/00
    H02J 7/00
    B25J 13/00
    B25J 9/16
    A47L 9/30
    B25J 5/00
    B25J 19/00
  • Abstract:
    A mobile robot system is provided that includes a docking station having at least two pose-defining fiducial markers. The pose-defining fiducial markers have a predetermined spatial relationship with respect to one another and/or to a reference point on the docking station such that a docking path to the base station can be determined from one or more observations of the at least two pose-defining fiducial markers. A mobile robot in the system includes a pose sensor assembly. A controller is located on the chassis and is configured to analyze an output signal from the pose sensor assembly. The controller is configured to determine a docking station pose, to locate the docking station pose on a map of a surface traversed by the mobile robot and to path plan a docking trajectory.
  • Systems And Methods For Performing Occlusion Detection

    view source
  • US Patent:
    20160144505, May 26, 2016
  • Filed:
    Sep 16, 2015
  • Appl. No.:
    14/856497
  • Inventors:
    - Bedford MA, US
    Jason Meltzer - Pasadena CA, US
    Marc Barnada Rius - La Cellera De Ter, ES
  • International Classification:
    B25J 9/16
    B25J 9/00
  • Abstract:
    The present invention provides a mobile robot configured to navigate an operating environment, that includes a machine vision system comprising a camera that captures images of the operating environment using a machine vision system; detects the presence of an occlusion obstructing a portion of the field of view of a camera based on the captured images, and generate a notification when an occlusion obstructing the portion of the field of view of the camera is detected, and maintain occlusion detection data describing occluded and unobstructed portions of images being used by the SLAM application.

Facebook

Jason Meltzer Photo 3

Jason Meltzer

view source
Jason Meltzer Photo 4

Jason Meltzer

view source
Jason Meltzer Photo 5

Jason Coffeeshop Meltzer

view source
Jason Meltzer Photo 6

Jason Meltzer

view source
Jason Meltzer Photo 7

Jason Meltzer

view source
Jason Meltzer Photo 8

Jason Meltzer

view source

Flickr

Googleplus

Jason Meltzer Photo 17

Jason Meltzer

Jason Meltzer Photo 18

Jason Meltzer

Jason Meltzer Photo 19

Jason Meltzer

Classmates

Jason Meltzer Photo 20

Jason Meltzer

view source
Schools:
Calabasas High School Calabasas CA 1997-2001
Community:
Nicole Lewitt, Casey Crabtree, K Haas
Jason Meltzer Photo 21

Jason Meltzer

view source
Schools:
Hollywood Elementary School Hollywood MD 1989-1993
Community:
Fran Franny, Sheldon Barber
Jason Meltzer Photo 22

Jason Meltzer

view source
Schools:
Richard Rodgers Public School 96 Bronx NY 1979-1986
Community:
Jennifer Caroccio, Carmen Arizmendi, Miguel Compres, Anthony Valentin
Jason Meltzer Photo 23

Hollywood Elementary Scho...

view source
Graduates:
Tammy Mattingly (1974-1980),
Brenda Turcios (1997-2001),
Jason Meltzer (1989-1993)
Jason Meltzer Photo 24

Richard Rodgers Public Sc...

view source
Graduates:
Jason Meltzer (1979-1986),
Jason Kessler (1971-1976),
Ted Bongiovanni (1939-1946),
Nicholas Cartagena (1980-1984)
Jason Meltzer Photo 25

Blackburn College, Carlin...

view source
Graduates:
Jason Meltzer (1999-2003),
Nora Maston (1975-1977),
Timothy Evans (1987-1988),
Lisa Adams (1980-1982)

Youtube

Veterans Day 2022

  • Duration:
    47m 51s

Paway Presentation by Founder Jason Meltzer f...

Paway CEO & Founder Jason Meltzer presents at the Global Pet Expo in O...

  • Duration:
    7m 50s

Roblox-Book Of Monsters 'Jason' Meltzer

  • Duration:
    4m 19s

Creative Market decided to go fully remote be...

Hi there! Welcome to Gaper FlipOS is a software platform that enables ...

  • Duration:
    18m 42s

Jason Meltzer CEO of Wag Labs Inc on Univsion...

Jason Meltzer CEO of Wag! explains the Wag! app. Wag make finding a pr...

  • Duration:
    2m 6s

1minutesheets14 UploadCSV

  • Duration:
    51s

Get Report for Jason M Meltzer from Los Angeles, CA
Control profile