For the Inventor, By the Inventor

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New York, NY, United States of America

Eyelock LLC

USPTO Granted Patents = 72

% Expired Patents = 48.6

EPO Patents = 2

Trademarks = 1

Forward Citations = 706

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20 inventors (with patents filed for the assignee):

Keith James Hanna (62 out of 107 patents)

Hector Hoyos (22 out of 45 patents)

George Herbert Needham Riddle (14 out of 28 patents)

4. David Hirvonen (9 out of 26 patents)

5. Gary Alan Greene (7 out of 8 patents)

6. Sarvesh Makthal (4 out of 4 patents)

7. Stephen Charles Gerber (3 out of 32 patents)

8. Mikhail Teverovskiy (2 out of 2 patents)

9. Christopher L Ream (2 out of 2 patents)

10. David Arlen McDonald (2 out of 19 patents)

11. David Hammond Sliney (2 out of 3 patents)

12. Samuel Jeff Carter (2 out of 4 patents)

13. Daniel A Sanchez (2 out of 56 patents)

14. Thomas E Carter, Ii (1 out of 1 patent)

15. John Michael Rozmus (1 out of 4 patents)

Core Competencies:

Biometric Acquisition

Iris Recognition

Biometric Matching

Image Acquisition

Fraud Prevention

Mobile Identity

Illumination Systems

Camera Module

Statistical Models

Data Provenance

Biometric Systems

Dynamic Selection

72 patents: Sort by Forward Citations

1. 11068711 - Systems and methods of biometric acquisition using positive optical distortion (2021-07-20),

2. 10997411 - Lens system for high quality visible image acquisition and infra-red iris image acquisition (2021-05-04),

3. 10956736 - Methods and apparatus for power-efficient iris recognition (2021-03-23),

4. 10943110 - Biometric matching using normalized iris images (2021-03-09),

5. 10534969 - Systems and methods for providing illumination for iris biometric acquisition (2020-01-14),

6. 10395097 - Method and system for biometric recognition (2019-08-27),

7. 10372982 - Methods and apparatus for repetitive iris recognition (2019-08-06),

8. D855053 - Biometrics acquisition device (2019-07-30),

9. 10332118 - Efficient prevention of fraud (2019-06-25),

10. 10332113 - Model-based prediction of an optimal convenience metric for authorizing transactions (2019-06-25),

11. 10311300 - Iris recognition systems and methods of using a statistical model of an iris for authentication (2019-06-04),

12. 10311299 - Reflected optic camera module for iris recognition in a computing device (2019-06-04),

13. 10296791 - Mobile identity platform (2019-05-21),

14. 10176373 - Compact biometric acquisition system and method (2019-01-08),

15. 10133926 - Compact biometric acquisition system and method (2018-11-20),

Company Overview

Eyelock LLC, based in New York, specializes in advanced iris recognition technology, focusing on biometric acquisition and matching systems. The company develops solutions that enhance security and identity verification through innovative image acquisition techniques and illumination systems. Eyelock's technology is designed to prevent fraud and streamline mobile identity applications, making it a key player in the biometric industry. Their products cater to various sectors, emphasizing reliability and accuracy in identity management.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

72 Patents

#142 in New York, NY

#306 in New York

#5,108 in US

#10,396 in the World

New York, NY, United States of America

Eyelock LLC

Forward Citations = 706

20 inventors:

Keith James Hanna (62 out of 107 patents)

Hector Hoyos (22 out of 45 patents)

George Herbert Needham Riddle (14 out of 28 patents)

4. David Hirvonen (9 out of 26 patents)

5. Gary Alan Greene (7 out of 8 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Eyelock LLC. Retrieved from https://idiyas.com/company/eyelock

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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