Data processing: measuring – calibrating – or testing – Calibration or correction system – Position measurement
Reexamination Certificate
1999-08-20
2001-09-04
Wachsman, Hal (Department: 2857)
Data processing: measuring, calibrating, or testing
Calibration or correction system
Position measurement
C702S094000, C702S104000, C356S139030, C356S370000
Reexamination Certificate
active
06285959
ABSTRACT:
BACKGROUND AND SUMMARY OF THE INVENTION
The present invention relates generally to noncontact gauging systems. More particularly, the invention relates to an apparatus system and method for calibrating noncontact gauging systems.
Demand for higher quality has pressed manufacturers of mass produced articles, such as automotive vehicles, to employ automated manufacturing techniques that were unheard of when assembly line manufacturing was first conceived. Today, robotic equipment is used to assemble, weld, finish, gauge and test manufactured articles with a much higher degree of quality and precision than has been heretofore possible. Computer-aided manufacturing techniques allow designers to graphically conceptualize and design a new product on a computer workstation and the automated manufacturing process ensures that the design is faithfully carried out precisely according to specification. Machine vision is a key part of today's manufacturing environment. Machine vision systems are used with robotics and computer-aided design systems to ensure high quality is achieved at the lowest practical cost.
Achieving high quality manufactured parts requires highly accurate, tightly calibrated machine vision sensors. Not only must a sensor have a suitable resolution to discern a manufactured feature of interest, the sensor must be accurately calibrated to a known frame of reference so that the feature of interest may be related to other features on the workpiece. Without accurate calibration, even the most sensitive, high resolution sensor will fail to produce high quality results.
In a typical manufacturing environment, there may be a plurality of different noncontact sensors, such as optical sensors, positioned at various predetermined locations within the workpiece manufacturing, gauging or testing station. The workpiece is placed at a predetermined, fixed location within the station, allowing various predetermined features of the workpiece to be examined by the sensors. Preferably, all of the sensors properly positioned and should be carefully calibrated with respect to some common fixed frame of reference, such as a common reference frame on the workpiece or at the workstation.
Keeping sensors properly positioned and calibrated is more easily said than done. In a typical manufacturing environment sensors and their associated mounting structures may get bumped or jarred, throwing the sensor out of alignment. Also, from time to time, a sensor needs to be replaced, almost certainly requiring reorienting and recalibrating. Quite simply, sensor positioning, alignment and calibration is a fact of life in the typical manufacturing plant.
The problem with sensor positioning, alignment and calibration is the time required. Invariably, the entire manufacturing assembly line for a given part must be shut down and the workstation cleared, so that the sensor may be positioned, aligned and recalibrated. In some instances this entails placing a highly accurate (and very expensive) full-scale model of the workpiece in the workstation. This independently measured part is sometimes called a master part. The master part is placed in careful registration with the external coordinate system of the workstation and then each sensor is trained on its assigned feature (such as a hole or edge). Once positioned, the sensors are locked into place and calibrated and the master part is removed. Only then can the assembly line be brought back online.
As an alternative to using a master part, it is possible to calibrate the gauging sensor by attaching a target to the sensor and illuminating the target using a plane of structured light produced by the sensor. A pair of optical sighting devices, theodolites, are placed at different vantage points within the workspace. The theodolites triangulate on the illuminated target to provide an independent reading of the position of the target. The theodolites are placed at carefully prescribed locations relative to the external reference frame. With the gauging sensor projecting structured light onto the target, the theodolites are manually aimed at the lighted targets and readings are taken. The respective readings of the theodolites and the gauging sensor are coordinated and transformed to calibrate the sensor relative to the external reference frame. It is a trial and error process. If the sensor needs to be reoriented (as is often the case), the theodolites must be manually retrained on the target after each sensor position adjustment. For more informaton on this calibration technique, see U.S. Pat. No. 4,841,460 to Dewar et al.
Whereas both of the aforementioned calibration techniques do work, there is considerable interest in a calibration technique that is quicker and easier to accomplish and that eliminates the need to rely on expensive master parts or difficult to use theodolite equipment. To this end, the present invention provides a calibration system that can be used in a matter of minutes, instead of hours, and without the need for precisely manufactured master parts or theodolite equipment. One of the major advantages of the invention is that it allows the calibration of a sensors to be checked or realigned between line shifts, without requiring the line to be shut down for an extended period.
The system employs a portable reference target that has a spherical target (having a retroreflective target dot) mounted on a tetrahedron framework at a known location with respect to the center of the tetrahedron framework. The retroreflective target dot is designed to reflect light from a photogrammetric measurement system comprised of two or more photogrammetric cameras. By placing the reference target within the field of observation of the photogrammetric system, the photogrammetric cameras are able to acquire the position of the retroreflective target dot and thereby acquire the position of the attached portable reference target.
The presently preferred portable reference target is a tetrahedron framework that provides at least three noncolinear and noncoplanar geometric structures (e.g., straight edges) that are illuminated by structured light emanating from the sensor. These noncolinear geometric features provide the sensor with unambiguous spatial data for measuring the spatial position and orientation of the target.
The system uses coordinate transformations for coordinating the sensor coordinate frame to an external reference frame. The system includes a coordinate transformation system for connecting the reading from the non-contact sensor and from the photogrammetric measurement system. The photogrammetric measurement system would be calibrated to the external reference frame using reference indicia and commercially available software. Using the tetrahedron with the structured light measurement, the transformation from sensor to tetrahedron space allows the identification of the retroreflective target dot in the sensor coordinates. Multiple samples are needed to define the orientation of the sensor. Establishing three or more non-collinear positions of the sensor allows the identification of the sensor coordinate frame with respect to reference coordinate frame of the photogrammetric measurement system in all six degrees of freedom (X, Y, Z, roll, pitch and yaw).
Using the calibration system of the invention, it is easy to calibrate a non-contact sensor. Initially, the retroreflective target dot is accurately located by the photogrammetric measurement system at several locations, such that the coordinate transformation system can be used to calibrate the system to the external reference frame. Next, the target is placed within the field of view of the sensor under calibration. The portable reference target is calibrated with respect to the reference frame of the photogrammetric measurement system. The sensor is then calibrated by projecting structured light from the non-contact sensor onto the portable reference target. The structured light intersects the target, producing reflected light patterns at the edges of the tetrahedron target that are then re
Harness & Dickey & Pierce P.L.C.
Perceptron, Inc.
Wachsman Hal
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