This inventor holds 1 USPTO granted patent. Top assignee: Florida Power & Light Company. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Samuel T Hammermaster
Introduction
Samuel T Hammermaster is an accomplished inventor based in Reston, VA (US). He has made significant contributions to the field of synthetic data generation, particularly in the context of machine learning. His innovative approach to creating synthetic images for training data has the potential to enhance the accuracy and efficiency of machine learning models.
Latest Patents
Samuel holds a patent for "Synthetic data generation of image training data." This patent outlines systems and methods to generate synthetic images for use in a machine learning training set. The process begins with accessing a database of real-world 3-D images of equipment in a power grid. These 3-D images include measurements that create dimensionally accurate and photorealistic models of the equipment. Optionally, the 3-D images can be aged or weathered using imaging editing software. Next, a database of real-world photographs of scenes where the equipment is installed is accessed. The identical scenes can be captured at different times of day, different times of the year, and from different perspectives. Using image editing software, the 3-D images of equipment are inserted into at least one of the scenes to form a synthetic image based on a combination of the equipment and the scene, which were previously captured independently.
Career Highlights
Samuel is currently employed at Florida Power & Light Company, where he applies his expertise in synthetic data generation. His work is instrumental in improving the training sets used for machine learning applications within the company.
Collaborations
Samuel collaborates with his coworker, Mackenzie Vecchio, to further enhance the development of innovative solutions in their field.
Conclusion
Samuel T Hammermaster's contributions to synthetic data generation represent a significant advancement in machine learning technology. His innovative patent and work at Florida Power & Light Company highlight his commitment to improving the efficiency and accuracy of machine learning models.