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Patrick Detiege Phones & Addresses

  • San Francisco, CA
  • 1901 Rock St, Mountain View, CA 94043 (650) 564-9288
  • 1901 Rock St, Mountain View, CA 94043 (650) 922-4009

Work

Company: Metapass Jun 2003 to Dec 2009 Position: Cto

Education

Degree: MS School / High School: Université Paris X Nanterre 1997 to 1999 Specialities: Computer Science

Skills

Software Engineering • Java • Electronics • C++ • Microcontrollers • Embedded Systems • C • UML • Linux • Hardware • OpenGL

Awards

U.S. Patent No. 7,454,783 in IT security • U.S. Patent No. 6,057,845 in gesture rec... • Gold award in the 1995 Paris Automation ... • EU Patent in Electronics • 1 St prize for Electric scissor CITEVI F... • Award for Consumer Terminal Micro Server...

Interests

Robotics, Artificial Intelligence, Mount...

Industries

Computer Software

Resumes

Resumes

Patrick Detiege Photo 1

Cto At Metapass

Location:
San Francisco Bay Area
Industry:
Computer Software
Work:
MetaPass Jun 2003 - Dec 2009
CTO

Sensiva Jun 1999 - Jan 2003
VP Engineering

Schneider Electric Mar 1990 - May 1998
Project Manager

Bayelec Jan 1988 - Jan 1989
Director of the development

Pat-R-Tronic Jan 1984 - Jun 1987
CTO
Education:
Université Paris X Nanterre 1997 - 1999
MS, Computer Science
IATA 1979 - 1982
Bachelor of Science (BS), Electrical and Electronics Engineering
Skills:
Software Engineering
Java
Electronics
C++
Microcontrollers
Embedded Systems
C
UML
Linux
Hardware
OpenGL
Interests:
Robotics, Artificial Intelligence, Mountain Biking.
Honor & Awards:
U.S. Patent No. 7,454,783 in IT security U.S. Patent No. 6,057,845 in gesture recognition Gold award in the 1995 Paris Automation Showcase for an Industrial Terminal. EU Patent in Electronics 1 St prize for Electric scissor CITEVI France 1984 Award for Consumer Terminal Micro Server 1989

Publications

Us Patents

Secure Digital Key For Automatic Login

US Patent:
20050033968, Feb 10, 2005
Filed:
Aug 8, 2003
Appl. No.:
10/637745
Inventors:
David Dupouy - Mountain View CA, US
Patrick Detiege - Mountain View CA, US
Assignee:
MetaPass, Inc. - Palo Alto CA
International Classification:
H04L009/32
G06F012/14
US Classification:
713183000, 713202000
Abstract:
A key which is a peripheral device which can directly connect to a host and stores multiple passwords and associated access data. The peripheral device includes an interface to a port of the host for establishing a connection. The peripheral device includes a processor and memory for storing the passwords and a program for both communicating with the host through the port, and for accessing the passwords and associated access data. Unlike the prior art, the present invention does not require the user to have a smart card reader or other token reader in order to access the passwords. In one aspect of the invention, the peripheral device incorporates a form of artificial intelligence to observe and later emulate a user's initial logon to a site. The software not only will recognize the site by storing characteristics of it, but will be able to automatically adapt to variations, if the login page is subsequently modified. In a preferred embodiment, the invention provides for automatically entering passwords in login forms.

Visual Recognition Of User Interface Objects On Computer

US Patent:
20080195958, Aug 14, 2008
Filed:
Feb 8, 2008
Appl. No.:
12/069238
Inventors:
Patrick J. Detiege - Sunnyvale CA, US
International Classification:
G06F 3/048
US Classification:
715765
Abstract:
A visual recognition of user interface objects on computer to recognize and localize objects on a computer screen such as input fields, buttons, icons, check boxes, text, and/or any other basic elements. A system captures the screen to an image, analyzes the image, and creates a layout with new virtual objects of the screen. The system captures the screen on a time basis like a movie camera as a bitmap. From the bitmap, the system generates lists of lines found on the screen, in which each line has properties such as length, color, starting point, and angle, for example. From the lines, the system creates rectangles found on the screen. From the bitmap, the system also searches each text element on the screen, and converts each text element to Unicode text. From the bitmap, the lines, the rectangles, and the text found on the screen, the system creates virtual objects that represent a one-for-one correspondence with each object found on the screen.
Patrick J Detiege from San Francisco, CA, age ~63 Get Report