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For the Inventor, By the Inventor

Phoenix, AZ, United States of America

Edge 3 Technologies, Inc.


USPTO Granted Patents = 106

% Expired Patents = 4.7


Trademarks = 2

Forward Citations = 884

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36 inventors (with patents filed for the assignee):

goldMedal Tarek A El Dokor (97 out of 109 patents)

silverMedal Jordan Cluster (49 out of 54 patents)

bronzeMedal 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:

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),
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 based on public USPTO records.

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USPTO Data Jan 1 1976 - Sep 29 2026

Edge 3 Technologies, Inc.
106 Patents

#11 in Phoenix, AZ

#43 in Arizona

#3,595 in US

#7,388 in the World

Phoenix, AZ (US)
Phoenix, AZ, United States of America

Edge 3 Technologies, Inc.

Forward Citations = 884

36 inventors:

goldMedal Tarek A El Dokor (97 out of 109 patents)

silverMedal Jordan Cluster (49 out of 54 patents)

bronzeMedal 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)

Please report any incorrect information to [email protected]
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