Michael J Robb MD 206 E Morris Dr, Phoenix, AZ 85012 4803031133 (phone), 6027591280 (fax)
Education:
Medical School University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines Graduated: 1994
Languages:
English
Description:
Dr. Robb graduated from the University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines in 1994. He works in Phoenix, AZ and specializes in Neurology and Neurotology.
Fortec Building Group LLC Construction & Remodeling Services. Remodeling Services. Siding Contractors. Roofing Contractors. Home Improvements. Contractors - General
5105 Tollview Dr STE 113, Rolling Meadows, IL 60008 8474839490, 8474839491
Mr. Michael Robb
Firestone Tire & Service Bridgestone Firestone North. Bridgestone Firestone North American Tir. Bridgestone Firestone Tire. Decatur Firestone. Firestone. Firestone. Firestone Auto. Firestone Complete Auto Care. Firestone Complete Auto Care. Firestone Tire & Rubber Company. Firestone Tire & Rubber Company. Expert Tire. Mark Morris Tire. GRC Tire Center Tire Dealers. Tire Distributors & Manufacturers. Battery Supplies. Auto Services. Tire Retread & Repair. Mufflers & Exhaust Systems. Brake Service. Auto Repair & Service. Auto Inspection Stations. Shock Absorbers. Home Centers. Battery Repairing & Rebuilding
District Office, 2064 Northlake Pkwy Ste A, Tucker, GA 30084-7059 8003673872
Michael Robb
Fortec Building Group LLC Nonclassifiable Establishments · Subdivider/Developer · Home Builders · Doors · Gutter Cleaning · Gutter Repair · Home Inspection · Insulation
5105 Tollview Dr STE 113, Rolling Meadows, IL 60008 2030 E Algonquin Rd, Schaumburg, IL 60173 1214 Brookstone Dr, Carol Stream, IL 60188 8474839490, 8474839491, 8474858314
Michael F. Robb
AFBC INC
Michael Robb General Manager
Home Restaurant Eating Place Misc Personal Services · Full-Service Restaurants
2100 Market St, San Francisco, CA 94114 4155030333
Resumes
Director, Global Vehicle Communications Development At Snap-On Diagnostics
Michael J. Robb - San Jose CA, US Steve L. Glickman - Los Gatos CA, US Patrick Brendan O'Mahony - San Jose CA, US Manjula Gururaj - Pewaukee WI, US David A. Jackson - Point Roberts WA, US George M. Gill - Vilonia AR, US Eric F. Bryan - Conway AR, US
Assignee:
Snap-On Incorporated - Pleasant Prairie WI
International Classification:
G01B011/275
US Classification:
33288, 3320318, 382151, 35613909
Abstract:
In a machine vision system utilizing computer processing of image data, an imaging module incorporates the image sensor as well as pre-processing circuitry, for example, for performing a background subtraction and/or a gradient calculation. The pre-processing circuitry may also compress the image information. The host computer receives the pre-processed image data and performs all other calculations necessary to complete the machine vision application, for example, to determine one or more wheel alignment parameters of a subject vehicle. In a disclosed example useful for wheel alignment, the module also includes illumination elements, and the module circuitry provides associated camera control. The background subtraction, gradient calculation and associated compression require simpler, less expensive circuitry than for typical image pre-processing boards. Yet, the pre-processing at the imaging module substantially reduces the processing burden on the host computer when compared to machine vision implementations using direct streaming of image data to the host computer.
Self-Calibrating, Multi-Camera Machine Vision Measuring System
David A. Jackson - Los Gatos CA, US Michael J. Robb - San Jose CA, US Donald L. Walchuk - Conway AR, US
Assignee:
Snap-On Incorporated - Pleasant Prairie WI
International Classification:
G01C017/38
US Classification:
702 94, 3320318, 356620, 356135, 35613909
Abstract:
An apparatus and method for calibrating machine vision measuring systems that have more than one camera are disclosed. A first calibration target is mounted in a fixed relationship to a first camera of the machine vision measuring system. A third camera mounted in a fixed relationship to a second camera of the machine vision measuring system. Second and third calibration targets are mounted in a fixed relationship to one another and viewable by the first camera and by the third camera. A data processor is programmed to compute calibration of the first camera and the second camera, based on a position of the second calibration target relative to the third calibration target and based on a position of the first camera with respect to the third camera. The apparatus and method provide a way to continuously measure the positions of two or more cameras used in the measuring system, and to use such measurements to calibrate the system. If the cameras move with respect to each other, their respective positions are calculated and used in subsequent measurements.
Self-Calibrating, Multi-Camera Machine Vision Measuring System
An apparatus and method for calibrating machine vision measuring systems that have more than one camera are disclosed. A first calibration target is mounted in a fixed relationship to a first camera of the machine vision measuring system. A third camera mounted in a fixed relationship to a second camera of the machine vision measuring system. Second and third calibration targets are mounted in a fixed relationship to one another and viewable by the first camera and by the third camera. A data processor is programmed to compute calibration of the first camera and the second camera, based on a position of the second calibration target relative to the third calibration target and based on a position of the first camera with respect to the third camera. The apparatus and method provide a way to continuously measure the positions of two or more cameras used in the measuring system, and to use such measurements to calibrate the system. If the cameras move with respect to each other, their respective positions are calculated and used in subsequent measurements.
Self-Calibrating, Multi-Camera Machine Vision Measuring System
David A. Jackson - Los Gatos CA, US Michael J. Robb - San Jose CA, US Donald L. Walchuk - Conway AR, US
Assignee:
Snap-On Incorporated - Pleasant Prairie WI
International Classification:
G01C017/38
US Classification:
702 94, 3320318, 356620, 356155, 35613909
Abstract:
An apparatus and method for calibrating machine vision measuring systems that have more than one camera are disclosed. A first calibration target is mounted in a fixed relationship to a first camera of the machine vision measuring system. A third camera mounted in a fixed relationship to a second camera of the machine vision measuring system. Second and third calibration targets are mounted in a fixed relationship to one another and viewable by the first camera and by the third camera. A data processor is programmed to compute calibration of the first camera and the second camera, based on a position of the second calibration target relative to the third calibration target and a position of the first camera with respect to the third camera. The apparatus and method provide a way to continuously measure the positions of the cameras used in the measuring system to calibrate the system.
Michael J. Robb - San Jose CA, US Steve L. Glickman - Los Gatos CA, US Patrick Brendan O'Mahony - San Jose CA, US Manjula Gururaj - Pewaukee WI, US David A. Jackson - Point Roberts WA, US George M. Gill - Vilonia AR, US Eric F. Bryan - Conway AR, US
Assignee:
Snap-On Incorporated - Pleasant Prairie WI
International Classification:
G01B 11/275
US Classification:
3320316, 33288, 35613909, 701 29, 701 33
Abstract:
In a machine vision system utilizing computer processing of image data, an imaging module incorporates the image sensor as well as pre-processing circuitry, for example, for performing a background subtraction and/or a gradient calculation. The pre-processing circuitry may also compress the image information. The host computer receives the pre-processed image data and performs all other calculations necessary to complete the machine vision application, for example, to determine one or more wheel alignment parameters of a subject vehicle. In a disclosed example useful for wheel alignment, the module also includes illumination elements, and the module circuitry provides associated camera control. The background subtraction, gradient calculation and associated compression require simpler, less expensive circuitry than for typical image pre-processing boards. Yet, the pre-processing at the imaging module substantially reduces the processing burden on the host computer when compared to machine vision implementations using direct streaming of image data to the host computer.
Superimposing Current Or Previous Graphing Data For Anomaly Detection
Michael J. Robb - San Jose CA, US William Welch - Shanghai, CN James Panko - Wonderlake IL, US
Assignee:
Snap-On Incorporated - Pleasant Prairie WI
International Classification:
G06F 7/00 G06F 17/00
US Classification:
701 29, 701 33, 701 35, 702 71, 702 74
Abstract:
A system and a machine-implemented method for rendering, on a display device, a first data graph concerning data received from a first data source. A second data graph concerning data received from a second data source is rendered on the display device, and superimposed onto the first data graph to generate a superimposed data graph.
David A. Jackson - Point Roberts WA, US Michael J. Robb - San Jose CA, US Patrick B. O'Mahony - San Jose CA, US
Assignee:
Snap-On Incorporated - Kenosha WI
International Classification:
G01M 17/00
US Classification:
701 29, 701 28, 701 31, 701 35, 340439
Abstract:
A diagnostic system allows a service technician to diagnose a malfunction that occurs during operation of a wheel alignment system after the malfunction has occurred and is no longer apparent. The system, which includes one or more cameras for gathering images of the alignment, gathers information in real time about the alignment of a plurality of wheels. The images include reflections from a target mounted on each wheel, and a processing system in communication with the cameras receives the images and generates analysis data based on them, the analysis data providing an analysis of the alignment of the wheels. A memory device stores the images and the analysis data, and a storage control causes the memory device to store the images and the analysis data in response to activation of the storage control by the operator during the occurrence of the malfunction. A display device in communication with the memory device selectively displays the images and the analysis data, and a play-back control causes the display device to selectively display the images and the analysis data to the service technician in response to activation of the play-back control after the occurrence of the malfunction.
Invisible Target Illuminators For 3D Camera-Based Alignment Systems
David Jackson - Point Robert WA, US Eric Bryan - Conway AR, US Michael Robb - San Jose CA, US
International Classification:
G01B005/24
US Classification:
033203180
Abstract:
A three-dimensional camera based system for determining the position and/or alignment of objects such as motor vehicle wheels. The system includes a strobed infrared lighting subsystem, a visible indicator that the subsystem is working properly, and targets for attachment to the objects. The system also includes at least one camera for viewing the targets, and a data processor connected to the camera for processing data relating to images of the targets to determine position and/or alignment information, and a display that displays the position and/or alignment information. The system includes directional indicators for indicating that the vehicle should be repositioned by moving it backward, forward, or steered left or right. The system also includes wheel indicators tied in with software on the data processing device. These wheel indicators indicate the state of target acquisition by the data processing device based on the image from the camera.
This is an important study in highlighting some of the potential risks associated with media use, and specifically handheld mobile devices, said Michael Robb, research director for Common Sense Media. Whats driving the effect is very important. The negative effects may be due to screen time repl
Date: May 06, 2017
Category: Health
Source: Google
Parents Spend as Much Time on Screens as Teenagers
several reports on kids exposure to media, this study is their first foray into looking at parents habits and attitudes. And the director of research, Michael Robb, thinks it is fair to say that the adults appear to have their noses in their phones just as much as their 13- to 18-year-olds.
Date: Dec 06, 2016
Category: U.S.
Source: Google
Why you should stop obsessing about your kids' 'screen time'
It would be easy to draw some simple conclusions from thatresult about how socioeconomic factors may affect media use,said Common Sense research head Michael Robb. But Common Sense wanted to see if it could paint a more complex and personal picture, rather than usingsuch a broad brush.
Date: Oct 26, 2016
Category: Health
Source: Google
Half of US teens say they're 'addicted' to smartphones. How to help?
We initiated this report because research on media use and children is complicated, varied, and as revealed by this report, woefully incomplete, says Michael Robb, director of research at Common Sense, on a conference call with reporters.
Date: May 04, 2016
Category: Health
Source: Google
Cemetery improvements on display during Memorial Day services
Rev. Damien Wee from the Catholic churches in Scribner and Hooper will offer prayers. Cornhusker Boys State delegate Ryan Schnoor and Girls State representative Makayla Nemecek will participate. Taps will be played Michael Robb and Tim Wobken. The Scribner-Snyder Community Schools Band will perform.
Date: May 24, 2014
Category: U.S.
Source: Google
1 killed, 10 hurt when train strikes rural Pennsylvania transit bus stopped on tracks
Michael Robb, executive director of the Alliance for Nonprofit Resources Inc., said hes been told that fog played a role in the crash. Robb also said he doesnt believe the bus stopped on the tracks.
Date: Apr 26, 2013
Source: Google
Can touch, motion controls win over console gamers?
Some are indeed interested. Michael Robb, attending E3 on behalf of an educational gaming company, said he likes the idea of more interactive ways of playing. He thinks the content coming out at this show is dictating new ways for people to play games and not the other way around, which he prefers.