Ppg Industries Ohio, Inc.

Paul Beymore

Alison M Norris

A'Lisa Marie Krawciw

James Pereksta

Mary Kimbro

Penny Neisen

Thomas Pondelik

Jon David Whitby

A computer system for seeding a formulation engine receives spectrometric data from a target coating. The computer system processes the spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants. Each colorant within the set of colorants is associated with a calculated probability that the associated colorant is present within the target coating. Additionally, the computer system adds at least a portion of the colorants within the set of colorants to a formulation engine. The portion of the colorants is added to the formulation engine in order of decreasing probability. Further, the computer system generates, from an output of the formulation engine, a coating formulation that is calculated to match the target coating within a predetermined qualitative threshold.

Formulation systems and methods employing target coating data results

A computer system for identifying coating texture effects initiates a set of colorant decision points. The colorant decision points identify a probability that an effect pigment type is present within a target coating. The computer system calculates in parallel each colorant decision point within the set of colorant decision points. Each colorant decision point provides a probability that a different effect pigment type is present within the target coating. The computer system then calculates a set of final colorant probabilities. Each final colorant probability within the set of final colorant probabilities is calculated by combining a unique subset of probabilities calculated by the first set of colorant decision points. Additionally, each final colorant probability indicates a probability that an associated colorant is present within the target coating.

Systems and methods for rapid coating composition determinations

A computer system for analyzing a paint sample and generating values that describe various attributes of a proposed matching color can comprise instructions for receiving from a coating-measurement instrument one or more coating variables of a target coating. The system can also comprise instructions for calculating coating texture ratings for the multiple respective proposed coating matches. The coating texture ratings can indicate a similarity between the one or more coating texture characteristics of the target coating and respective coating texture characteristics of each of the respective proposed coating matches. Additionally, the system can comprise instructions for sending instructions to generate a user interface that depicts overall rankings of at least a portion of the proposed coating matches. The overall rankings indicate a similarity between the target coating and each of the at least a portion of the proposed coating matches with respect to the coating texture ratings.

Color and texture match ratings for optimal match selection

A method that includes obtaining, using a processor, image data from a target coating. The method also includes performing, using the processor, an image analysis to determine at least one sparkle point from the image data, and performing, using the processor, a hue analysis to determine a sparkle color from the sparkle point. The method further includes calculating, using the processor, a sparkle color distribution, and generating, using the processor, a coating formulation that is the same or substantially similar in appearance to the target coating.

Pigment identification of complex coating mixtures with sparkle color

A computer system for optimizing a coating formulation through a user interface processes spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants that are each associated with a calculated probability that the associated colorant is present within a target coating. The system identifies a proposed group of colorants from within the set of colorants that are associated with the highest calculated probabilities of being present within the target coating. The system displays on a graphical user interface an indication of each colorant within the proposed group of colorants. The system receives input through one or more selectable interface elements that define a user-defined group of colorants selected from the proposed group of colorants. The system generates a coating formulation, wherein the coating formulation is generated from the user-defined group of colorants.

Systems, methods, and interfaces for rapid coating generation

A computerized method for displaying matches of a paint sample to various proposed paint coatings includes receiving one or more coating texture variables of a target coating from a coating-measurement instrument. The method also includes displaying, on a digital display device, effect texture ratings for multiple respective proposed coating matches on a digital display device, wherein the effect texture ratings indicate a similarity between the one or more coating texture variables of the target coating and respective coating textures variables of each of the respective proposed coating matches. In addition, the method includes ordering the proposed coating matches, wherein the ordering indicates a strength in similarity between the target coating and each of the proposed coating matches with respect to the effect texture ratings.

A computer implemented method. The method includes identifying, using a processor, a bulk pigment in a target coating, wherein identifying comprises applying a Bayesian process, and identifying, using the processor, at least one refined pigment in the target coating, wherein identifying comprises applying a Bayesian process. The method also includes formulating, using a processor, a formulation of the target coating, wherein formulating comprises applying a Bayesian process, and outputting the formulation.

Systems and methods for determining a coating formulation

Using an image capturing device, multiple images can be obtained at different angles with respect to a surface of a target coating. In one computer-implemented embodiment, a method involves using a filtering technique to perform an image analysis on the obtained images to determine the presence of sparkle points within the images. A color attribute analysis can then be performed to determine various color attributes associated with the determined sparkle point. A sparkle color distribution can then be calculated in response to the color attribute analysis. A coating formulation can then be generated, in association with the calculated sparkle color distribution, which is the same or substantially similar to the target coating.

A computer implemented method. The method includes performing at least one of a visual evaluation and an instrument measurement of a target coating on a target sample to generate colorimetric information, and identifying, using a processor, a bulk toner that is present in the target coating by determining a color and a color intensity at different viewing angles relative to the target sample. The method also includes identifying, using the processor, at least one specific toner that is present in the target coating by detecting a presence and an orientation of colored and/or non-colored pigmentation effects that are present in the target coating, and outputting, using the processor, a formulation of the target coating that includes at least the at least one specific toner.

Multi-angular color, opacity, pigment characterization and texture analysis of a painted surface via visual and/or instrumental techniques

A computer implemented method. The method includes identifying, using a processor, a texture in a target coating, wherein identifying comprises applying a Bayesian process, and assigning, using the processor, a texture value adapted for use by one of a search engine and a formulation engine.

Systems and methods for texture assessment of a coating formulation

A method for determining a paint formulation includes: obtaining target color information for a target color, identifying a plurality of toners and corresponding concentrations of the toners in a paint formula that can be used to produce a paint having a color that is similar to the target color, and modifying the paint formula by removing one of the identified toners having a lowest concentration to produce a modified paint formula that can be used to produce a paint having a color that is similar to the target color, and determining if the modified paint formula meets user specified acceptance criteria. An apparatus that can be used to perform the method is also described.

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Vermilion, OH, United States of America

Paul Beymore