San Jose, CA, United States of America

Tomislav Pejsa

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Meta Platforms Technologies, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tomislav Pejsa. Retrieved from https://idiyas.com/inventor/tomislav-pejsa-88p7yysy

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Tomislav Pejsa and Gaze-Based Object Recognition

Introduction

Tomislav Pejsa is an inventor based in San Jose, California. His patent work includes an artificial reality headset that uses a wearer’s gaze to register objects for later recognition.

Latest Patents

Pejsa is associated with 1 patent: “Identifying an Object for Object Recognition Based on a User’s Gaze Determined by a Headset.” The invention describes a headset that enters registration mode when prompted by the user. Its imaging devices capture the surrounding area, while an eye-tracking unit determines the user’s gaze direction. The headset identifies and visually distinguishes the object being viewed. After the user confirms the selection, the headset captures images of the object and uses them to train an instance classifier for future identification, then notifies the user when registration is complete.

Career Highlights

Pejsa is associated with Meta Platforms Technologies, LLC. His patent illustrates an approach to making object recognition in artificial reality more interactive by allowing users to select objects through their gaze.

Collaborations

The listed coworkers associated with Pejsa include Jing Huang and Matthew Dan Feiszli.

Conclusion

Tomislav Pejsa’s patent work focuses on gaze-directed object registration, connecting eye tracking, headset imaging, and machine learning to support object recognition in artificial reality.

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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