Company Filing History:
Years Active: 2023
Title: Simon Hergenröder: Innovator in Synthetic Labeled Training Datasets
Introduction
Simon Hergenröder is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of computer-implemented methods and systems, particularly in the area of synthetic labeled training datasets. His innovative work has implications for various applications, including image recognition.
Latest Patents
Hergenröder holds a patent for a method and system for providing synthetic labeled training datasets. This patent describes a computer-implemented method that selects at least one sub-object or component from a CAD model of an object. The method generates a plurality of different render images containing the selected sub-object or component. These render images are then labeled based on the CAD model to create a training dataset. Additionally, the patent outlines a trained function that utilizes this dataset for image recognition purposes.
Career Highlights
Simon Hergenröder is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His work at Siemens focuses on advancing technologies that enhance image recognition systems and improve the efficiency of training datasets. Hergenröder's expertise in this area has positioned him as a valuable asset to his team and the company.
Collaborations
Some of Hergenröder's coworkers include Maximilian Metzner and Sören Weissert. Their collaborative efforts contribute to the innovative projects at Siemens, fostering an environment of creativity and technological advancement.
Conclusion
Simon Hergenröder is a prominent inventor whose work in synthetic labeled training datasets is paving the way for advancements in image recognition technology. His contributions at Siemens Aktiengesellschaft highlight the importance of innovation in the tech industry.