Stockholm, Sweden

Hagen Spies

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Qualcomm Incorporated. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hagen Spies. Retrieved from https://idiyas.com/inventor/hagen-spies-5ae0d5vw

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

Calculating rank
USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Hagen Spies

Introduction

Hagen Spies is a notable inventor based in Stockholm, Sweden. He has made significant contributions to the field of image processing and machine learning. With a total of 2 patents, his work focuses on enhancing the capabilities of image sensors.

Latest Patents

Hagen's latest patents include "Extrinsic parameter prediction for image sensor(s)" and "Online intrinsic calibration." The first patent provides techniques for extrinsic parameter prediction, particularly for cameras. This method involves obtaining a first frame for a specific time period, processing it with a machine learning model, and determining the relative pose of the image sensor. The second patent outlines systems and techniques for calibrating image processing. It describes how a computing device can obtain image frames of a three-dimensional scene, determine inlier points, and apply final intrinsic parameters to the camera.

Career Highlights

Hagen Spies is currently employed at Qualcomm Incorporated, where he continues to innovate in the field of image processing. His work has implications for various applications, including computer vision and robotics.

Collaborations

Hagen collaborates with talented individuals such as Bjoern Johansson and Daniel Ankelhed. Their combined expertise contributes to the advancement of technology in their field.

Conclusion

Hagen Spies is a prominent inventor whose work in image processing and machine learning has led to valuable patents. His contributions continue to shape the future of technology in significant ways.

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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