Seagate Technology Incorporated

Zhiyu Chen

Gary Joseph Kunkel

Kurtis Dean Loken

Ramprasath A Prakash

Andrew D Habermas

Various defects in an electronic assembly can be intelligently identified with a system having at least a server connected to a first capture module and a second capture module. The first capture module may be positioned proximal a first manufacturing line while the second capture module is positioned proximal a second manufacturing line. Images can be collected of first and second electronic assemblies by respective first and second capture modules prior to the images being sent to a classification module of the server where at least one defect is automatically detected in each of the first and second electronic assemblies concurrently with the classification module.

Intelligent defect identification system

A method of analyzing an atomic force microscope image includes receiving data related to an atomic force microscope image, where the data includes at least a first channel of data and a second channel of data relating to a first and second image data type. The method also includes identifying at least a first location of high contrast within the image using the first image data type using edge detection and identifying a first artifact within the image based on the identified first location of high contrast. The method also includes accessing the second image data type corresponding to the identified first location of the first artifact and determining a type of the first artifact by comparing the first image data type with the second image data type relating to the identified location of the first artifact.

Automated detection of artifacts in scan image

A method includes receiving an image of a surface of a slider bar from an interferometer, where the slider bar includes at least two sliders, and where the image includes image data according to at least two image data channels for a slider bar surface and the at least two sliders. The method also includes generating a slider bar map of the surface of the slider bar based upon the image data of the image, where the slider bar map includes at least two data channels and ascertaining a plurality of individual slider surface maps based on a number of sliders included on the slider bar, where the ascertaining is also based upon the slider bar map having the at least two data channels. The method also includes segmenting the slider bar map according to the plurality of individual slider surface maps.

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Eagan, MN, United States of America

Zhiyu Chen