Noblesville, IN, United States of America

Jay Nicholas Jackson

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Jay Nicholas Jackson: Innovator in Reality Capture Technology

Introduction

Jay Nicholas Jackson is an accomplished inventor based in Noblesville, IN (US). He has made significant contributions to the field of reality capture technology, holding 2 patents that showcase his innovative approach to classifying digital assets.

Latest Patents

One of Jay's latest patents is titled "Methods and systems for automatically classifying reality capture data." This patent outlines a method for classifying a set of source files of reality capture data into an asset class of digital reality capture assets. The process involves receiving a set of payloads, including metadata from a user device, which corresponds to a region of interest captured by a camera. The method classifies the source files based on this metadata and provides information to the user device, identifying the asset class of the digital reality capture assets. This innovation allows for the generation of a digital reality capture asset corresponding to the asset class based on the classified source files.

Career Highlights

Jay Nicholas Jackson is currently employed at DroneDeploy, Inc., where he continues to develop and refine technologies related to reality capture. His work has positioned him as a key player in the industry, contributing to advancements that enhance the efficiency and accuracy of digital asset classification.

Collaborations

Jay collaborates with talented individuals in his field, including his coworker Cody James Cahoon. Their combined expertise fosters an environment of innovation and creativity, driving forward the capabilities of reality capture technology.

Conclusion

Jay Nicholas Jackson is a notable inventor whose work in reality capture technology is paving the way for future advancements in the field. His patents reflect a commitment to innovation and a deep understanding of digital asset classification.

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