Lidingö, Sweden

Sven Georg Axemo

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: International Business Machines Corporation. Active years: 2012.



Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Sven Georg Axemo: Innovator in Image Identification Technology

Introduction

Sven Georg Axemo is a notable inventor based in Lidingo, Sweden. He has made significant contributions to the field of image identification technology. His innovative approach has led to the development of a unique patent that enhances the accuracy of entity identification through image analysis.

Latest Patents

Sven Georg Axemo holds a patent for a "Method and system for analyzing image identifications to identify an entity." This method involves analyzing image identifications to determine whether they accurately identify an entity, such as a vehicle's license plate. The process includes receiving identification sets from optical character recognition (OCR) engines, comparing character strings, and analyzing confidence levels to ascertain entity identification. This innovative method aims to improve the reliability of image-based identification systems.

Career Highlights

Sven is currently associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced technologies in image recognition and analysis. His contributions have been instrumental in enhancing the capabilities of OCR systems.

Collaborations

Sven has collaborated with notable colleagues, including Carl Viktor August Johnsson Hamilton and Mohammad Ali Sanamrad. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Sven Georg Axemo's work in image identification technology exemplifies the impact of innovative thinking in the field of engineering. His patent reflects a commitment to improving the accuracy of entity identification, showcasing the importance of advancements in technology.

Profile summary based on public USPTO records.
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