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Machine Vision for Process Control
continued

 The most common control function implemented with machine vision is guidance. Robot guidance and alignment are two typical implementations. Robot guidance usually requires 3-D vision while alignment is typically 2-D. To align parts for processing unique patterns must be identified during training that can be used by the vision system to register subsequent parts. Best results are obtained from specifically designed locating registration marks called fiducials. Solid circles are often preferred for their rotation insensitivity and easy centroid definition. Fiducial shape, size and location are defined for surface mount printed circuit boards for both board alignment and part placement in IPC-SM-782. To align a part in X, Y and Theta, or rotation, requires two fiducials or patterns. To get sufficient precision in Theta the two fiducials should not be in the same camera image. Either two cameras or a moveable camera are required.

fiducial

Control of the alignment of a part for processing requires accurate and precise adjustment of a table or stage in three axes. When the cameras can see the part after adjustment there is the opportunity for readjustment if, after the first attempt, tolerances are still not met. This is not the ideal scenario as often the adjustment is made after the part leaves the vision station and additional adjustments slow the throughput rate. Accurate calibration of the three axis control system allows the adjustment to be made in a single operation. This is best accomplished when the alignment application controls both the vision and the stage calibration. The mathematics involved are not trivial.

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