For the Inventor, By the Inventor

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Phoenix, AZ, United States of America

Edge 3 Technologies, Inc.

USPTO Granted Patents = 106

% Expired Patents = 4.7

EPO Patents = 3

Trademarks = 2

Forward Citations = 884

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36 inventors (with patents filed for the assignee):

Tarek A El Dokor (97 out of 109 patents)

Jordan Cluster (49 out of 54 patents)

James Edward Holmes (36 out of 40 patents)

4. Joshua T King (34 out of 39 patents)

5. Stuart Masakazu Yamamoto (20 out of 54 patents)

6. Pedram Vaghefinazari (14 out of 24 patents)

7. Milind Subhash Gide (10 out of 10 patents)

8. Josh King (10 out of 11 patents)

9. William E Glomski (10 out of 12 patents)

10. Roger Hauptman (6 out of 7 patents)

11. Justin R Gigliotti (6 out of 6 patents)

12. Matt Conway (4 out of 12 patents)

13. Graeme Asher (4 out of 4 patents)

14. Matt McElvogue (4 out of 4 patents)

15. Churu Yun (4 out of 27 patents)

Core Competencies:

Gesture Recognition

Camera Calibration

Image Segmentation

Multi-Camera Systems

Movement Detection

Depth Map Estimation

Gesture Control

Disparity Decomposition

User Interface

Near Touch Interaction

Adaptive Bayer Pattern

Vapor Signature

106 patents: Sort by Forward Citations

1. 12574488 - Residual error mitigation in multiview calibration (2026-03-10),

2. 12436253 - Coarse to fine movement detection in vehicles (2025-10-07),

3. 12236643 - Localization of lens focus parameter estimation and subsequent camera calibration (2025-02-25),

4. 12229995 - Fine calibration parameter validation (2025-02-18),

5. 12205329 - Calibration for multi-camera and multisensory systems (2025-01-21),

6. 11985292 - Residual error mitigation in multiview calibration (2024-05-14),

7. 11900636 - Calibration for multi-camera and multisensory systems (2024-02-13),

8. 11875536 - Localization of lens focus parameter estimation and subsequent camera calibration (2024-01-16),

9. 11868543 - Gesture keyboard method and apparatus (2024-01-09),

10. 11710299 - Method and apparatus for employing specialist belief propagation networks (2023-07-25),

11. 11703951 - Gesture recognition systems (2023-07-18),

12. 11656722 - Method and apparatus for creating an adaptive bayer pattern (2023-05-23),

13. 11568568 - Calibration for multi-camera and multisensory systems (2023-01-31),

14. 11521311 - Collaborative disparity decomposition (2022-12-06),

15. 11494003 - Gesture keyboard method and apparatus (2022-11-08),

Company Overview

Edge 3 Technologies, Inc., based in Phoenix, AZ, specializes in advanced gesture recognition technologies. The company focuses on developing innovative solutions that enhance human-computer interaction through sophisticated gesture control systems. Their expertise encompasses a range of core technology topics, including camera calibration, image segmentation, and multi-camera systems. By leveraging movement detection and depth map estimation, Edge 3 aims to create intuitive interfaces that facilitate seamless user experiences across various applications.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

106 Patents

#11 in Phoenix, AZ

#43 in Arizona

#3,604 in US

#7,411 in the World

Phoenix, AZ, United States of America

Edge 3 Technologies, Inc.

Forward Citations = 884

36 inventors:

Tarek A El Dokor (97 out of 109 patents)

Jordan Cluster (49 out of 54 patents)

James Edward Holmes (36 out of 40 patents)

4. Joshua T King (34 out of 39 patents)

5. Stuart Masakazu Yamamoto (20 out of 54 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Edge 3 Technologies, Inc.. Retrieved from https://idiyas.com/company/edge-3-technologies

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

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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