Johnson and Johnson Vision Care, Inc.

University of North Florida

The Document Experts Inc.

Peter Cerreta

Edward R Kernick

Stephen Peter Stagon

Ryan Scherzer

A method for quality control of contact lens packages comprises receiving a first data set comprising a plurality of images of a contact lens package having physically implanted defects; receiving a second data set comprising a plurality of images of a contact lens package having digitally implanted defects; testing and training, on the first and second data set, a model to determine a validated one or more quality control models; capturing image data of a package of a contact lens; analyzing, based on the validated one or more quality control models, the image data; and causing, based on the analyzing, output of a quality control metric indicative of at least an accept or reject condition of the package.

Defect detection using synthetic data and machine learning

A problem exists of prohibitively high costs associated with molds for small run, legacy, or prototype injection molded parts. Further, the lead time on molds is currently on the order of about two weeks. A mold is provided that is formed from three-dimensional printing. The mold includes a series of air and/or water cooling channels to limit thermal stresses to the mold. Additionally, a series of coatings is added to the surface of a 3D printed mold to extend the lifetime of the mold and increase the performance of the mold. The coatings perform a function other than to define a shape of an injection cavity, such as improving thermal conductivity, providing a thermal barrier between the injection material and the mold body, or improving the detachment of the final mold product from the mold body.

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Jacksonville, FL, United States of America

Peter Cerreta