Snap-on Inc.

Snap-on Technologies, Inc.

Michael J Robb

David A Jackson

Patrick O'Mahony

Donald L Walchuk

George Michael Gill

Eric F Bryan

Manjula Gururaj

Steve L Glickman

James A Panko

William L Welch

Patrick Brendan O'MAHONY

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.

Diagnosing malfunctioning wheel alignment system

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.

Superimposing current or previous graphing data for anomaly detection

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.

Gradient calculating camera board

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.

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. The apparatus and method enable a machine vision measuring system to be used without field calibration at the time of installation.

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San Jose, CA, United States of America

Michael J Robb