Matthew Leopold

Title: Innovations by Matthew Leopold in Coating Technologies

Introduction

Matthew Leopold is an accomplished inventor based in Whitehouse, Ohio, known for his significant contributions to the field of coating technologies. With a total of three patents to his name, Leopold has developed innovative methods that leverage deep learning techniques to enhance the identification and application of coating formulas.

Latest Patents

Leopold's latest patents include a method and device for deploying and using an image similarity metric with deep learning. This invention allows for the measurement of an unknown target coating and searches a database for the best matching coating formulas. The device refines its search using an image similarity metric, comparing images of the target coating with those of the best matching formulas. Another notable patent is the identification of effect pigments in a target coating. This computer-implemented method involves providing digital images and formulas for coating compositions, classifying each pixel in the images, and training a neural network to assign pigment labels to unknown input images.

Career Highlights

Matthew Leopold is currently employed at BASF Coatings GmbH, where he continues to innovate in the field of coatings. His work focuses on integrating advanced technologies to improve the accuracy and efficiency of coating applications.

Collaborations

Leopold collaborates with notable colleagues, including Donald R. Baughman and Guido Bischoff, who contribute to his research and development efforts in the coatings industry.

Conclusion

Matthew Leopold's innovative work in coating technologies exemplifies the intersection of deep learning and practical applications in the industry. His patents reflect a commitment to advancing the field and improving the processes involved in coating identification and application.