Abstract: A method utilizing image correlation to determine position measurements in a machine vision system. In a first operating state, the machine vision system utilizes traditional scale-based techniques to determine position measurements, while in a second operating state, image correlation displacement sensing techniques are utilized to determine position measurements. The image correlation techniques provide for higher accuracy for measuring distances between features that are separated by more than one field of view. The user may toggle between the operating states through a selection on the user interface, and guidance may be provided regarding when the image correlation mode is likely to provide higher accuracy, depending on factors such as the distance to be measured and the characteristics of the surface being measured.

Abstract: A method for correcting coaxial light image edge location errors in a precision machine vision inspection system is disclosed. The method comprises comparing an edge position measurement of a workpiece edge feature using coaxial light and stage light. Edge position measurements using stage light have a lower uncertainty than that of coaxial light. Position correction factors may be determined from the difference between the two edge position measurements. The position correction factors may be stored for correcting subsequent edge position measurements that are based on images acquired using coaxial light. In some embodiments, position correction factors may be determined based on comparing edge position measurements for a plurality of edges.

Abstract: A method for correcting coaxial light image edge location errors in a precision machine vision inspection system is disclosed. The method comprises comparing an edge position measurement of a workpiece edge feature using coaxial light and stage light. Edge position measurements using stage light have a lower uncertainty than that of coaxial light. Position correction factors may be determined from the difference between the two edge position measurements. The position correction factors may be stored for correcting subsequent edge position measurements that are based on images acquired using coaxial light. In some embodiments, position correction factors may be determined based on comparing edge position measurements for a plurality of edges.

Abstract: A robust video tool is provided for use in a machine vision inspection system. The robust video tool comprises a region of interest, a user interface, edge detection operations, and excluded region operations that determine a set of current-feature edge points which includes edge points detected in the region of interest and excludes edge points in an excluded region. The excluded region is determined by an excluded region generator, based on at least one previously characterized feature which is a feature characterized by using a video tool that detects the edge points of, and characterizes dimensional parameters of, the previously characterized feature. Importantly, the robust video tool features and operations are configured to allow learn mode programming on a workpiece that is either properly fabricated or improperly fabricated, and the resulting program will operate reliably on a run mode workpiece that is either properly fabricated or improperly fabricated.

Abstract: A method is disclosed for operating a machine vision inspection system to determine a fluorescent imaging height for acquiring a fluorescent image for repeatably determining the location of a feature within the fluorescent material. The height of an exposed workpiece portion exposed outside of the fluorescent material is determined (e.g., using a height sensor or autofocus operations). The determined height is repeatable. The exposed portion has a characteristic height relative to the fluorescent material and/or features located therein. The fluorescent imaging height, which may be inside the fluorescent material, is determined relative to the determined height of the exposed portion. The fluorescent imaging height is determined such that it enhances the detection of the desired feature located within the fluorescent material in the resulting fluorescent image.