Lauderhill, FL, United States of America

Syed Idris Shah

This inventor holds 2 USPTO granted patents. Top assignee: Magic Leap, Inc.. Active years: 2021-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Syed Idris Shah. Retrieved from https://idiyas.com/inventor/syed-idris-shah

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2021-2022

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2 patents (USPTO):Explore Patents

Title: Syed Idris Shah: Innovator in Image Processing Technology

Introduction

Syed Idris Shah is a notable inventor based in Lauderhill, FL (US). He has made significant contributions to the field of image processing technology. With a total of 2 patents to his name, Shah continues to push the boundaries of innovation in his area of expertise.

Latest Patents

One of his latest patents focuses on an image size triggered clarification to maintain image sharpness. This invention involves an application engine that renders an image based on image data from a content source. A display engine then presents the image to the user, allowing for adjustments from a first size to a second size. A detection system is in place to monitor the size adjustment, and an application executes a clarification routine to ensure the image remains sharp throughout the process.

Career Highlights

Syed Idris Shah is currently employed at Magic Leap, Inc., where he applies his expertise in image processing. His work at this innovative company allows him to collaborate with other talented professionals in the field.

Collaborations

One of his notable coworkers is Henricus Cabanier, with whom he shares insights and ideas that contribute to their projects.

Conclusion

Syed Idris Shah is a prominent figure in the realm of image processing technology, with a focus on maintaining image clarity through innovative solutions. His contributions continue to shape the future of this field.

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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