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Ravi Dwivedula

from San Jose, CA

Ravi Dwivedula Phones & Addresses

  • San Jose, CA
  • 251 Dekalb St, King of Prussia, PA 19406 • (484)6747882
  • Bensalem, PA
  • 3903 City Ave, Philadelphia, PA 19131 • (215)8782083
  • 914 Poplar Ct, Bensalem, PA 19020

Work

  • Company:
    The neat company
    Sep 2012 to 2012
  • Position:
    Director, research and development

Education

  • Degree:
    Master's
  • School / High School:
    Temple University
    2003 to 2005
  • Specialities:
    Electrical Engineering

Skills

Image Processing • Machine Learning • Natural Language Processing • Device Drivers • Computer Vision • SDK development • Agile Methodologies • C++ • Business Strategy • Start-ups • Scrum • Product Development • Optical Character Recognition • Software Development • Hardware Development

Industries

Computer Software

Resumes

Ravi Dwivedula Photo 1

Director, Research And Development At The Neat Company

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Position:
Director, Research and Development at The Neat Company
Location:
Greater Philadelphia Area
Industry:
Computer Software
Work:
The Neat Company since Sep 2012
Director, Research and Development

The Neat Company Sep 2005 - Aug 2012
Sr. Imaging Engineer

Temple University - Greater Philadelphia Area Sep 2003 - Aug 2005
Research Assistant
Education:
Temple University 2003 - 2005
Master's, Electrical Engineering
Jawaharlal Nehru Technological University 1999 - 2003
Bachelors, Electronics and Communication Engineering
Skills:
Image Processing
Machine Learning
Natural Language Processing
Device Drivers
Computer Vision
SDK development
Agile Methodologies
C++
Business Strategy
Start-ups
Scrum
Product Development
Optical Character Recognition
Software Development
Hardware Development

Us Patents

  • Method And Apparatus For Cropping Images

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  • US Patent:
    2009018, Jul 23, 2009
  • Filed:
    Jan 22, 2009
  • Appl. No.:
    12/357656
  • Inventors:
    Ravi Dwivedula - King of Prussia PA,
    Adam Turkelson - Lansdale PA,
  • Assignee:
    DIGITAL BUSINESS PROCESSES, INC. - Philadelphia PA
  • International Classification:
    G06K 9/42
    G06K 9/36
  • US Classification:
    382256, 382286
  • Abstract:
    The boundaries of a scanned digital document are determined by identifying the largest connected component in the received digital document and assigning the boundaries of the largest connected component as the boundaries of the received digital document or by using a row by row and column by column analysis of the received digital document to identify horizontal and vertical bands in the digital image having pixels with a value opposite to the value of pixels of a background of the received digital document and assigning the horizontal and vertical bands to be the boundaries of the received digital document. These processes may be performed in series or parallel by a processor associated with a scanner that creates the digital document.

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