Jonathan Byrne

This inventor holds 15 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Deep Learning Technologies. Top assignees: Movidius Limited, Intel Corporation, Gabaja Limited. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jonathan Byrne. Retrieved from https://idiyas.com/inventor/jonathan-byrne

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

Calculating rank

USPTO Granted Patents = 15 (Patent Applications = 2)

% Patents Active = 100.0

EPO Patents = 1 (Patent Applications = 7)

Average Co-Inventor Count = 3.1

ph-index = 3

Forward Citations = 21(Granted Patents)

Company Filing History:

Years Active: 2021-2026

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Areas of Expertise:

Sparse Volumetric Data

Deep Learning

Neural Networks

Computer Vision

Scene Reconstruction

Path Planning

Density Coordinate Hashing

Digital Scene Generation

15 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12613097 - Operations using sparse volumetric data (2026-04-28),

2. 12566961 - Deep learning system (2026-03-03),

3. 12481863 - Automated generation of neural networks (2025-11-25),

4. 12320649 - Path planning using sparse volumetric data (2025-06-03),

5. 12122420 - Computer vision system (2024-10-22),

6. 12026224 - Methods, systems, articles of manufacture and apparatus to reconstruct scenes using convolutional neural networks (2024-07-02),

7. 11965743 - Operations using sparse volumetric data (2024-04-23),

8. 11920934 - Path planning using sparse volumetric data (2024-03-05),

9. 11900649 - Methods, systems, articles of manufacture and apparatus to generate digital scenes (2024-02-13),

10. 11900256 - Deep learning system (2024-02-13),

11. 11532117 - Density coordinate hashing for volumetric data (2022-12-20),

12. 11472118 - System and method of manufacturing a mouth piece (2022-10-18),

13. 11393228 - Methods, systems, articles of manufacture and apparatus to generate digital scenes (2022-07-19),

14. 11367246 - Operations using sparse volumetric data (2022-06-21),

15. 11037361 - Path planning using sparse volumetric data (2021-06-15),

Title: Innovations of Jonathan Byrne

Introduction

Jonathan Byrne is a notable inventor based in Ashbourne, Ireland. He has made significant contributions to the field of technology, particularly in computer vision and volumetric data structures. With a total of 12 patents to his name, Byrne's work showcases his innovative approach to solving complex problems.

Latest Patents

One of his latest patents is titled "Path planning using sparse volumetric data." This invention involves comparing geometry captured in image data generated by an imaging sensor with a description of the geometry in a volumetric data structure. The volumetric data structure describes the volume at multiple levels of detail and includes entries that define voxels representing subvolumes of the volume. Each entry indicates whether a corresponding voxel is at least partially occupied with the geometry, which is crucial for accurate comparisons with image data. Another significant patent is the "Computer vision system," where a raycaster performs a raycasting algorithm using a sparse hierarchical volumetric data structure. This algorithm casts rays from a reference point into a 3D volume, determining whether voxels are intersected and occupied, thereby enhancing the efficiency of the ray traversal process.

Career Highlights

Throughout his career, Jonathan Byrne has worked with prominent companies such as Movidius Limited and Intel Corporation. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.

Collaborations

Byrne has collaborated with talented individuals, including David Macdara Moloney and Sam Caulfield. These partnerships have fostered a creative environment that has led to innovative solutions and advancements in their respective fields.

Conclusion

Jonathan Byrne's contributions to technology through his patents and collaborations highlight his role as a leading inventor. His work continues to influence advancements in computer vision and volumetric data processing.

Profile summary based on public USPTO records.