Texas Instruments Corporation

Other

Rajasekar Reddy

A Kathleen Hennessey

YouLing Lin

C Rinn Cleavelin

Ramakrishna Pattikonda

Howard V Hastings, Ii

Wan S Wong

Veera S Khaja

Youling Lin

Pinar Kinokoglu

Pinar Kinikoglu

Veera V Khaja

Ramachandra R Katragadda

Audrey Kathleen Hennessey

Ramachandra Katragadda

Huitian Lu

A method and system for generating and managing a knowledgebase for use in identifying anomalies on a manufactured object, such as a semiconductor wafer, includes measures for adding, deleting, and organizing data from the knowledgebase.

System and method for classifying an anomaly

A system and method allow for associating a descriptive label with an anomaly on a manufactured object, such as a semiconductor wafer. The method includes placing the manufactured device on a moveable stage; capturing and preparing a digital-pixel-based representation of the image; symbolically decomposing the digital-pixel-based representation of the image to create a primitive-based representation of the image; analyzing the primitive-based representation of the image to detect and locate the anomaly; isolating primitives associated with the anomaly; comparing the isolated primitives associated with the anomaly with primitives in a knowledge base to locate a set of primitives in the knowledge base most like the isolated primitives associated with the anomaly; and assigning a label associated with the set of primitives in the knowledge base that was most similar to the isolated primitives associated with the anomaly. Different layers of semiconductor wafer may be analyzed to determine an appropriate label for a defect.

Method and system for identifying defects in a semiconductor

System and method for knowledgebase generation and management

A system and method for repairing a defect on a manufactured object, which may be a semiconductor wafer, uses a computer and a repair tool. The method includes placing the manufactured device on a moveable stage; capturing and preparing a digital-pixel-based representation of the image; symbolically decomposing the digital-pixel-based representation of an image to create a primitive-based representation of the image; analyzing the primitive-based representation of the image to detect and locate an anomaly; isolating primitives associated with the anomaly; comparing the isolated primitives associated with the anomaly with primitives in a knowledgebase to locate a set of primitives in the knowledgebase that are most like the isolated primitives associated with the anomaly; assigning a defect-type label associated with the set of primitives in the knowledge base that was most similar to the isolated primitives associated with the anomaly; and using a repair tool to repair the defect based on defect-type label for the anomaly.

System and method for circuit repair

A system and method for detecting anomalies on a manufactured device includes or utilizes a moveable stage for holding and positioning the device, a camera for capturing an image of the device on the stage, a digitizer coupled to the camera for producing a digital-pixel-based representation of the image, and a computer having a processor and memory. The computer is coupled to the digitizer for receiving the digital-pixel-based representation from the digitizer and coupled to the stage for selectively moving the stage to align the device. The computer is programmed to be operable to symbolically decompose a digital-pixel-based representation of an image to create a primitive-based representation of the image. The image may be aligned by the computer with respect to the rotation of geometric objects in the image by developing a histogram of angles and lengths and matching them to determine a rotational shift.

Method and system for anomaly detection

An apparatus and method for automatic knowledge-based object or anomaly classification is provided by capturing a pixel map of an image and from that generating high level descriptors of the object or anomaly such as size, shape, color and sharpness. These descriptors are compared with sets of descriptors in a knowledge-base to classify the object or anomaly.

Apparatus and method for automatic knowlege-based object identification

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Dallas, TX, United States of America

Rajasekar Reddy