Markus Bößl

Title: Innovations by Markus Bößl in Product Analysis

Introduction

Markus Bößl is an accomplished inventor based in Munich, Germany. He has made significant contributions to the field of product analysis through his innovative methods and technologies. His work focuses on utilizing advanced neural networks for defect detection and anomaly analysis.

Latest Patents

Markus Bößl holds a patent for a "Method and apparatus for analyzing a product, training method, system, computer program, and computer-readable storage medium." This patent describes a method of analyzing a product that includes performing anomaly detection on a received image using an autoencoder. The autoencoder is trained based on a first set of training images that show defect-free products. The method also involves determining the presence of defects using a binary classifier and performing defect detection with a defect detector trained on images of defective products. The results are evaluated based on a weighting of the anomaly detection, defect detection, and binary classifier outcomes.

Career Highlights

Markus Bößl is currently employed at Fujitsu Technology Solutions GmbH, where he applies his expertise in product analysis. His innovative approach has positioned him as a key figure in the development of advanced analytical methods within the company.

Collaborations

Markus collaborates with talented coworkers, including Felix Rothmund and Simran Agarwal. Their combined efforts contribute to the advancement of technology in product analysis.

Conclusion

Markus Bößl's work exemplifies the intersection of technology and innovation in product analysis. His contributions through patents and collaboration with colleagues continue to push the boundaries of what is possible in this field.