Corning Incorporated

Hak Chuah Sim

Cameron John Tovey

Cynthia L Wida

Ronald Charles Hollenbeck

Jacob George

Yeqing Zhang

David Andrew Pastel

Seth Thomas Nickerson

Russell Wayne Madara

Gehl Kristine Sluder

DiRisio Carlo Richard

Byoungseon Jeon

Frey Julie Charmaine

A method and system for inspecting a honeycomb body. The method includes capturing a first image. Instances of at least one feature in the first image that correlates to a structural characteristic of the honeycomb body are detected. One or more detected instances of the at least one feature identified in the first image are abstracted by creating a graphical representation of each of the one or more detected instances of the at least one feature. A second image is generated by augmenting the first image with the graphical representation in place of or in addition to each of the one or more detected instances of the at least one feature identified in the first image. The second image is analyzed using a machine learning algorithm to classify the honeycomb body with respect to the structural characteristic of the honeycomb body.

Structural characteristic prediction for a honeycomb body using image abstraction

Imaging-based methods for detecting defects in an extruded cellular ceramic article having a web array are disclosed. The methods may include capturing a digital image of the web array to establish an intensity-based initial web array representation. The methods also may include performing an intensity threshold process on the initial web array representation to define an intensity-based high-resolution web array representation having sub-pixel resolution, and performing piecewise cubic spline fits to define corresponding web skeletons. The method may also include comparing intensities of the high-resolution web array representation along the web skeletons to a threshold intensity to determine the defect locations and sizes. The methods can be applied to determining the size and location of skin defects as well.

Imaging-based methods for detecting and measuring defects in extruded cellular ceramic articles

Optical reader systems and methods with accurate microplate position detection capability are disclosed. The optical reader systems having scanning optical systems that are configured to scan select position-detecting features on the microplate to accurately determine their respective positions. The measurement of the positions of the position-detecting features can also be used to calibrate the optical reader system to reduce or eliminate adverse positioning effects from system non-linearities that arise from one or more of the system components, including the scanning optical system.

Optical reader systems and methods for microplate position detection

Optical reader systems and methods with rapid microplate position detection capability are disclosed. The optical reader system includes a scanning optical system configured to scan select position-detecting features to accurately determine the microplate position within the optical reader system. The method includes measuring positions of the position-detecting features in order of their respective amounts of position tolerance, from smallest to largest. The position measurement is carried out for a number of position-detecting features sufficient to determine the microplate position with the optical reader system to within a select microplate position tolerance.

Optical reader systems and methods with rapid microplate position detection

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Painted Post, NY, United States of America

Hak Chuah Sim