Search

Jason E Meltzer

from New York, NY
Age ~50

Jason Meltzer Phones & Addresses

  • 246 90Th St, New York, NY 10128
  • Kennett Square, PA
  • Topanga, CA
  • 305 The Mews, Rocky Hill, CT 06067
  • East Aurora, NY
  • Havre de Grace, MD
  • West Chester, PA

Work

Company: Jason meltzer Address: 19C Heritage Drive, New City, NY 10956 Phones: (845) 639-0464 Position: Owner Industries: Newspapers: Publishing, or Publishing and Printing

Resumes

Resumes

Jason Meltzer Photo 1

Director, Data Center Operations

View page
Location:
107 Elon Ct, New City, NY 10956
Industry:
Information Technology And Services
Work:
Tierpoint
Director, Data Center Operations

Tierpoint Aug 2018 - Nov 2018
Manager, Systems Provisioning - Client Implementation

Tierpoint Jun 2016 - Aug 2018
Data Center Operations Manager

Smbc Capital Markets Nov 2004 - Jan 2016
Vice President of Infrastructure

Equiserve 1998 - 2004
Senior Network Administrator
Education:
University at Albany, Suny 1992 - 1997
Bachelors, Bachelor of Arts, Information Science
Christopher Columbus High School 1990 - 1992
Skills:
It Management
Sms
It Operations Management
Networking
Disaster Recovery
It Financial Management
Infrastructure
Management
Infrastructure Management
Sccm
Integration
Servers
Remote Infrastructure Management
Security Architecture Design
It Infrastructure Management
Strategic Technology Planning
Vendor Management
Active Directory
Technology Planning
San
Data Integrity
Incident Response
Data Center
Certifications:
Certified Commvault Administrator
Microsoft Certified Systems Engineer
Microsoft Certified Systems Administrator
Microsoft Certified Professional
Citrix Certified Administrator
Exin Epi® Certified Data Centre Professional
Jason Meltzer Photo 2

Jason Meltzer

View page

Business Records

Name / Title
Company / Classification
Phones & Addresses
Jason Meltzer
Owner
Jason Meltzer
Newspapers: Publishing, or Publishing and Pri...
19C Heritage Drive, New City, NY 10956
Jason Meltzer
SurfDog LA
Pet Sitters · Dog Walkers · Pooper Scoopers
2002 4, Santa Monica, CA 90405
(323) 364-5291
Jason Meltzer
Wag!
Dog Walkers
1750 N Sierra Bonita Ave, Los Angeles, CA 90046
(323) 487-1924
Jason Meltzer
Owner
Jason Meltzer
Newspapers: Publishing, or Publishing and Pri...
19C Heritage Drive, New City, NY 10956

Publications

Us Patents

Video Customization And Presentation Systems And Methods

View page
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.

Robot Management Systems For Determining Docking Station Pose Including Mobile Robots And Methods Using Same

View page
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 page
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 page
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.

Robot Management Systems For Determining Docking Station Pose Including Mobile Robots And Methods Using Same

View page
US Patent:
20140100693, Apr 10, 2014
Filed:
Oct 5, 2013
Appl. No.:
14/046941
Inventors:
- Bedford MA, US
Jason Meltzer - Los Angeles CA, US
Steffen Gutmann - Cupertino CA, US
Vazgen Karapetyan - Pasadena CA, US
Mario E. Munich - La Canada CA, US
Assignee:
iRobot Corporation - Bedford MA
International Classification:
G05D 1/02
US Classification:
700253
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.
Jason E Meltzer from New York, NY, age ~50 Get Report