Intelligent Reasoning Systems, Inc.

John W Grace

Mark R DeYong

Jeff Newberry

Thomas C Eskridge

John R Zoch

Wesley K Huffstutter

Scott A Dunn

Marc A Lumeyer

Michael A Ellison

A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest. The class determinations can include present or absent, and right or wrong polarity. Another aspect of the image recognition software includes the ability to subclassify the defects. Another aspect of the present invention includes the ability to incrementally train the existing knowledge base as more images are processed.

System and method for dynamic image recognition

System and method for creating a knowledge base

A system and method for performing basic training in a dynamic image recognition system, including collecting raw image data on a blank object, segmenting out a region of interest on the object, performing spatial image transforms to generate a set of derived spaces for the region of interest, generating a set of presence/absence features for the object by creating a set of presence/absence features, representing each significant presence/absence feature as one or more presence/absence boxes, building a blank object presence/absence score set, building an assembled board presence/absence score set, building a presence/absence knowledge base using the blank object presence/absence score set and the assembled object presence absence score set, and pruning each presence/absence box. The system and method further includes generating a set of polarity features from a first assembled object.

System and method for performing basic training

A user interface method and system are disclosed that allow for user selection on a display device of one or more functions performed via a computer in an automated optical inspection system. The user interface provides a real-time information display that makes apparent critical board inspection information and potential undesirable operating conditions so that corrective action can be rapidly initiated. The user interface includes one or more button icons respectively associated with the user selectable functions and at least one view area window for displaying information items. The information items displayed in a view window can be dynamically linked to provide interactivity between windows and simultaneous updating of related information items in all windows. A filter area window is used for selecting which information items to discriminate and display in the view windows. The user interface of the present invention can be a graphical user interface having view windows in which either text, graphics or both are displayed simultaneously.

User interface for automated optical inspection systems

Growing community of inventors

Austin, TX, United States of America

John W Grace