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.
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.
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.
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
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
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
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.
Light Field Illumination Container Inspection System
- Cuyahoga Falls OH, US Michael Leo Kress - Uniontown OH, US Amir Novini - Akron OH, US
International Classification:
B41J 2/21 G06T 7/00 G06T 7/90 H04N 5/225
Abstract:
Described herein are various technologies pertaining to an automated light field illumination container inspection and manufacture system. The system includes a plurality of cameras that capture images of a container when the container is illuminated by way of light field illumination. Bands in images that include reflections in the exterior surface of the sidewall are identified, and a determination is made as to whether the container is defective based upon the identified bands.
- Cuyahoga Falls OH, US Michael Leo Kress - Uniontown OH, US Kris Brumbaugh - Marshallville OH, US Kellen Reusser - Wooster OH, US
International Classification:
G01N 21/958 G01N 21/90
Abstract:
Described herein are various technologies related to inspecting transparent containers for both opaque and transparent defects. An emitter is configured to direct a color gradient through a sidewall of a transparent container, such that color of light that passes through the sidewall varies across the sidewall. A camera is configured to capture an image of the sidewall of the transparent container while the color gradient passes through the sidewall of the container. A computing system receives the image and determines whether the sidewall of the container includes either an opaque or a transparent defect based upon the image.
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
2005 to 2000 Finance/Accounting ManagerGenie, Inc, Alliance
2002 to 2005 Senior Financial AnalystGoodyear Tire & Rubber Company Akron, OH 2001 to 2002 Payroll AccountantDover High Performance Plastics Dover, OH 2000 to 2001 General AccountantCamelot Music North Canton, OH 1993 to 1999 Accounting ManagerCamelot Music
1993 to 1999 Accounting SupervisorThe Timken Company Canton, OH 1990 to 1993 Worldwide leader in Bearings and Steel
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