Michael Joseph Kress

age ~49

from Gates Mills, OH

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Also known as:

Michael J Kress
Mike Kress

Connected to:

Michael Kress Phones & Addresses

Gates Mills, OH
2483 Canterbury Rd, Cleveland, OH 44118 • (216)9326463
2213 Oakdale Ave, Cleveland, OH 44118 • (216)9326463
Cleveland Heights, OH
59 Court St, Athens, OH 45701
Mentor on the Lake, OH
Canton, OH

Work

Company:

Mars incorporated, buckeye nutrition
2005
Position:

Finance/accounting manager

Education

School / High School:

Kent State University
1998

Specialities

Criminal Law • Criminal Defense

Resumes

Vice President Of Product Development

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Location:

Akron, OH

Industry:

Industrial Automation

Work:

Applied Vision Corporation Feb 2014 - Aug 2017
Director of Product Development
Applied Vision Corporation Feb 2014 - Aug 2017
Vice President of Product Development
Applied Vision Corporation Nov 2007 - Feb 2014
Manager of Product Development
Applied Vision Corporation Dec 2004 - Nov 2007
Software Engineer
Applied Vision Corporation Sep 2000 - Dec 2004
Engineering Intern

Education:

Kent State University 2002 - 2004
Bachelors, Bachelor of Science In Computer Science, Computer Science The University of Akron 2000 - 2002

Skills:

Automation
Machine Vision
Image Processing
Engineering
Electronics
Embedded Systems
Microcontrollers
Algorithms
Hardware Architecture
Programming
C
Sensors
Software Engineering
Electrical Engineering
Software Design
Embedded Software
Fpga
Pcb Design
Computer Vision
Software Development
Digital Signal Processors
Cross Functional Team Leadership
Signal Processing
Object Oriented Design
Motion Control
Power Electronics
Verilog
Firmware
Visual Studio
Rtos
Debugging

Michael Kress

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Branch Manager At Southeastern Equipment Company

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Location:

Cleveland/Akron, Ohio Area

Industry:

Construction

Michael Kress Canton, OH

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Work:

Mars Incorporated, Buckeye Nutrition

2005 to 2000
Finance/Accounting Manager Genie, Inc, Alliance

2002 to 2005
Senior Financial Analyst Goodyear Tire & Rubber Company
Akron, OH
2001 to 2002
Payroll Accountant Dover High Performance Plastics
Dover, OH
2000 to 2001
General Accountant Camelot Music
North Canton, OH
1993 to 1999
Accounting Manager Camelot Music

1993 to 1999
Accounting Supervisor The Timken Company
Canton, OH
1990 to 1993
Worldwide leader in Bearings and Steel

Lawyers & Attorneys

Michael Kress - Lawyer

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Specialties:

Criminal Law
Criminal Defense

ISLN:

905735656

Admitted:

1969

University:

Southern Illinois University, B.A.

Law School:

John Marshall Law School - Chicago, IL, J.D.

Us Patents

Apparatus And Methods For Container Inspection
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US Patent:

7667836, Feb 23, 2010
Filed:

May 24, 2007
Appl. No.:

11/753031
Inventors:

Richard A. Sones - Cleveland Heights OH, US
Carl E. Sebeny - Cuyahoga Falls OH, US
Brian M. Baird - Mantua OH, US
Michael A. Kress - Uniontown OH, US
Michael L. Kress - Uniontown OH, US
Assignee:

Applied Vision Company, LLC - Cuyahoga Falls OH
International Classification:

G01N 21/00
US Classification:

3562401, 356402
Abstract:

Apparatus, systems, and methods to recognize features on bottom surfaces of metal containers on a metal container production line, detect defects in the metal containers, and correlate the defects to specific production equipment of the metal container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Apparatus And Methods For Container Inspection
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US Patent:

7684034, Mar 23, 2010
Filed:

May 24, 2007
Appl. No.:

11/753034
Inventors:

Richard A. Sones - Cleveland Heights OH, US
Carl E. Sebeny - Cuyahoga Falls OH, US
Brian M. Baird - Mantua OH, US
Michael A. Kress - Uniontown OH, US
Michael L. Kress - Uniontown OH, US
Assignee:

Applied Vision Company, LLC - Cuyahoga Falls OH
International Classification:

G01N 21/00
US Classification:

3562401
Abstract:

Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Apparatus And Methods For Container Inspection
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US Patent:

7773214, Aug 10, 2010
Filed:

Dec 2, 2009
Appl. No.:

12/629092
Inventors:

Richard A. Sones - Cleveland Heights OH, US
Carl E. Sebeny - Cuyahoga Falls OH, US
Brian M. Baird - Mantua OH, US
Michael A. Kress - Uniontown OH, US
Michael L. Kress - Uniontown OH, US
Assignee:

Applied Vision Corporation - Cuyahoga Falls OH
International Classification:

G01N 21/00
US Classification:

3562401
Abstract:

Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Apparatus And Methods For Container Inspection
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US Patent:

8014586, Sep 6, 2011
Filed:

May 24, 2007
Appl. No.:

11/753029
Inventors:

Richard A. Sones - Cleveland Heights OH, US
Carl E. Sebeny - Cuyahoga Falls OH, US
Brian M. Baird - Mantua OH, US
Michael A. Kress - Uniontown OH, US
Michael L. Kress - Uniontown OH, US
Assignee:

Applied Vision Corporation - Cuyahoga Falls OH
International Classification:

G06K 9/00
US Classification:

382149, 382141, 382142, 382151, 348 86, 348 92, 348125, 348127
Abstract:

Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and encoders. The methods include synchronization techniques and correlation techniques.

System And Method For Dimensioning Objects Using Stereoscopic Imaging
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US Patent:

8284988, Oct 9, 2012
Filed:

May 13, 2009
Appl. No.:

12/464924
Inventors:

Richard A. Sones - Cleveland Heights OH, US
Kris Brumbaugh - Akron OH, US
Michael Leo Kress - Uniontown OH, US
Assignee:

Applied Vision Corporation - Cuyahoga Falls OH
International Classification:

G06K 9/00
G06K 7/10
G06K 7/00
G01B 11/24
G01B 11/14
US Classification:

382101, 382154, 356601, 356625, 235454, 235440
Abstract:

A method and configuration to estimate the dimensions of a cuboid. The configuration includes two image acquisition units offset from each other with at least one of the units positioned at a defined acquisition height above a background surface. Image processing techniques are used to extract a perimeter of a top surface of the cuboid, placed on the background surface, from pairs of acquired images. A height estimation technique is used to calculate an absolute height of the cuboid. The absolute height of the cuboid is used, along with the extracted perimeter of the top surface of the cuboid, to calculate an absolute length and an absolute width of the cuboid. The height, length, and width may be used to calculate an estimated volume of the cuboid.

System And Method For Detecting Decorator Wheel Blanket Defects
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US Patent:

20130087059, Apr 11, 2013
Filed:

Oct 6, 2011
Appl. No.:

13/267162
Inventors:

Brian M. Baird - Mantua OH, US
Michael A. Kress - Uniontown OH, US
Assignee:

APPLIED VISION CORPORATION - Cuyahoga Falls OH
International Classification:

B41F 23/04
US Classification:

1014161
Abstract:

A system and method to detect defects in ink blankets of a decorator wheel. An image of each of a plurality of ink blankets of a decorator wheel is acquired using an optical inspection device of the system as the decorator wheel rotates past the optical inspection device during an inking process. Each acquired image is correlated to a unique ink blanket of the plurality of ink blankets. Each acquired image is further matched to a unique standard image of a correlated unique ink blanket. Each acquired image is also compared to a matching unique standard image to determine any defects.