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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Daniel DeTone

This inventor holds 19 USPTO granted patents and 1 EPO patent. Top assignee: Magic Leap, Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel DeTone. Retrieved from https://idiyas.com/inventor/daniel-detone

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

USPTO Granted Patents = 19

% Patents Active = 89.5

 

Average Co-Inventor Count = 3.4

ph-index = 5

Forward Citations = 72(Granted Patents)


Company Filing History:

goldMedal19 out of 2,093 
 
Magic Leap, Inc.
 patents

Years Active: 2019-2026

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19 patents (USPTO):Explore Patents
1. 12650598 - Systems and methods for performing self-improving visual odometry (2026-06-09),
2. 12639579 - Systems and methods for virtual and augmented reality (2026-05-26),
3. 12033081 - Systems and methods for virtual and augmented reality (2024-07-09),
4. 11921291 - Systems and methods for performing self-improving visual odometry (2024-03-05),
5. 11893789 - Deep neural network pose estimation system (2024-02-06),
6. 11797078 - Augmented reality display device with deep learning sensors (2023-10-24),
7. 11657286 - Structure learning in convolutional neural networks (2023-05-23),
8. 11593654 - System for performing convolutional image transformation estimation (2023-02-28),
9. 11537894 - Fully convolutional interest point detection and description via homographic adaptation (2022-12-27),
10. 11238606 - Method and system for performing simultaneous localization and mapping using convolutional image transformation (2022-02-01),
11. 11120266 - Augmented reality display device with deep learning sensors (2021-09-14),
12. 11062209 - Method and system for performing convolutional image transformation estimation (2021-07-13),
13. 10977554 - Fully convolutional interest point detection and description via homographic adaptation (2021-04-13),
14. 10963758 - Structure learning in convolutional neural networks (2021-03-30),
15. 10733447 - Augmented reality display device with deep learning sensors (2020-08-04),

Title: Daniel DeTone - Innovator from San Francisco

Introduction: Daniel DeTone is a renowned inventor based in San Francisco, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Daniel DeTone holds several patents in the areas of artificial intelligence, machine learning, and computer vision, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a career spanning over two decades, Daniel DeTone has worked with leading tech companies, spearheading projects that have revolutionized the industry. His innovative solutions have earned him recognition as a pioneer in the field.

Collaborations: Throughout his career, Daniel DeTone has collaborated with top researchers, engineers, and developers, fostering a culture of innovation and creativity. His collaborative efforts have led to the development of groundbreaking technologies.

Conclusion: Daniel DeTone's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and technologists. His impact on the tech industry is profound, and his legacy as an innovator is sure to endure for years to come.

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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