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For the Inventor, By the Inventor

Chapel Hill, NC, United States of America

Ikorongo Technology, LLC


USPTO Granted Patents = 32

% Expired Patents = 3.1

Forward Citations = 187

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12 inventors (with patents filed for the assignee):

goldMedal Hugh Blake Svendsen (30 out of 152 patents)

silverMedal Scott Curtis (3 out of 68 patents)

bronzeMedal Eugene Farrelly (3 out of 37 patents)

4.  Michael W Helpingstine (3 out of 7 patents)

5.  Christopher Michael Amidon (3 out of 84 patents)

6.  Mike Helpingstine (2 out of 2 patents)

7.  Kunal Kandekar (2 out of 74 patents)

8.  Brady O Bruce (2 out of 9 patents)

9.  Darren P Briggs (2 out of 12 patents)

10.  John Forese (2 out of 6 patents)

11.  Emile L Reed, Iv (2 out of 6 patents)

12.  Michael W Mitchell (2 out of 6 patents)


Core Competencies:
Drone Device
Image Generation
Geographic Location
Capture Instructions
Event Photography
Image Sharing
Social Network
Climate Systems
Viewer Identification
Content Selection
Comparative Usage
Face Matching

32 patents:

1. 12705929 - Operating a drone device based on capture instructions determined from an event (2026-08-11),
2. 12694713 - Operating a drone device based on capture instructions determined from a collection of images (2026-07-28),
3. 12298786 - Operating a drone device based on capture instructions determined from social network information (2025-05-13),
4. 12051120 - Medium and device for generating an image for a geographic location (2024-07-30),
5. 11889183 - Determining capture instructions for drone photography for event photography (2024-01-30),
6. 11713897 - Method for determining comparative usage information of an irrigation resource (2023-08-01),
7. 11693899 - Determining images of interest based on a geographical location (2023-07-04),
8. 11449904 - System and device for generating a check-in image for a geographic location (2022-09-20),
9. 11368612 - Venue operated camera system for automated capture of images (2022-06-21),
10. 11363185 - Determining capture instructions for drone photography based on images on a user device (2022-06-14),
11. 11283937 - Sharing images based on face matching in a network (2022-03-22),
12. RE48904 - Method and apparatus for selectively sharing and passively tracking communication device experiences (2022-01-24),
13. 11068534 - Determining images of interest based on a geographical location (2021-07-20),
14. 11064102 - Venue operated camera system for automated capture of images (2021-07-13),
15. 11054165 - Multi zone, multi dwelling, multi user climate systems (2021-07-06),
Company Overview
Ikorongo Technology, LLC, based in Chapel Hill, NC, specializes in advanced technology solutions with a focus on innovative software development and engineering services. The company is dedicated to enhancing operational efficiencies through cutting-edge applications in various sectors, including cloud computing and data analytics. With a commitment to research and development, Ikorongo aims to deliver transformative technologies that address complex challenges and drive progress in the digital landscape.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 13 2026

32 Patents

#3 in Chapel Hill, NC

#247 in North Carolina

#10,599 in US

#20,671 in the World

Chapel Hill, NC (US)
Chapel Hill, NC, United States of America

Ikorongo Technology, LLC

Forward Citations = 187

12 inventors:

goldMedal Hugh Blake Svendsen (30 out of 152 patents)

silverMedal Scott Curtis (3 out of 68 patents)

bronzeMedal Eugene Farrelly (3 out of 37 patents)

4.  Michael W Helpingstine (3 out of 7 patents)

5.  Christopher Michael Amidon (3 out of 84 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Ikorongo Technology, LLC. Retrieved from https://idiyas.com/company/ikorongo-technology

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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