Lachen, Switzerland

Wolfgang Sepp

This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch Gmbh. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wolfgang Sepp. Retrieved from https://idiyas.com/inventor/wolfgang-sepp-w66lzd2h

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Wolfgang Sepp: Innovator in Image Encoding Technology

Introduction

Wolfgang Sepp is a notable inventor based in Lachen, Switzerland. He has made significant contributions to the field of image processing, particularly through his innovative methods for encoding images captured by optical sensors. His work has implications for various applications in technology and imaging.

Latest Patents

Wolfgang Sepp holds 1 patent related to a method for generating encoding rules for images captured by optical sensors. This patent outlines a process that includes reading the captured image, generating a frequency distribution of light-signal values at different pixels, and assigning code words to these values to create encoding rules. This method enhances the efficiency and effectiveness of image encoding.

Career Highlights

Sepp is currently employed at Robert Bosch GmbH, where he continues to develop and refine his innovative ideas. His work at Bosch allows him to collaborate with leading experts in the field and contribute to cutting-edge technology.

Collaborations

Some of Wolfgang Sepp's coworkers include Marc Geese and Ulrich Seger. Their collaboration fosters a creative environment that encourages innovation and the development of new technologies.

Conclusion

Wolfgang Sepp's contributions to image encoding technology demonstrate his expertise and commitment to innovation. His work not only advances the field but also sets the stage for future developments in image processing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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