Whitehouse, OH, United States of America

Donald R Baughman


 

Average Co-Inventor Count = 4.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Donald R. Baughman

Introduction

Donald R. Baughman is an accomplished inventor based in Whitehouse, Ohio. He has made significant contributions to the field of coatings technology, holding a total of four patents. His work focuses on advanced methods and devices that utilize deep learning techniques to enhance the identification and application of coating formulas.

Latest Patents

One of his latest patents is titled "Method and device for deploying and using an image similarity metric with deep learning." This invention discloses a method and device capable of measuring an unknown target coating. It can search a database for the best matching coating formulas based on the measured data and refine the search using an image similarity metric, employing deep learning techniques. Another notable patent is "Identification of effect pigments in a target coating." This computer-implemented method involves providing digital images and formulas for coating compositions with known pigments. It classifies each pixel of the digital images and trains a neural network to assign pigment labels to unknown input images, determining statistics of identified pigments.

Career Highlights

Donald R. Baughman is currently associated with BASF Coatings GmbH, where he applies his expertise in coatings technology. His innovative approaches have led to advancements in the industry, particularly in the use of deep learning for coating applications.

Collaborations

He has collaborated with notable coworkers, including Guido Bischoff and Matthew Leopold, contributing to the development of cutting-edge technologies in the coatings sector.

Conclusion

Donald R. Baughman's work exemplifies the intersection of technology and innovation in the coatings industry. His patents reflect a commitment to advancing the field through the application of deep learning techniques.

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