Tahoe Village, NV, United States of America

Edward Li

This inventor holds 1 USPTO granted patent. Top assignee: Socure, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Edward Li. Retrieved from https://idiyas.com/inventor/edward-li-ncy2yzb1

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


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Edward Li: Innovator in Barcode Readability Enhancement

Introduction

Edward Li, a talented inventor based in Tahoe Village, NV, has made significant contributions to the field of technology with his unique approach to enhancing barcode readability. With one patent to his name, he has developed a groundbreaking system that employs machine learning techniques to improve the accuracy of barcode data capture.

Latest Patents

Edward Li is credited with a patent titled "Generative system and method for enhancing readability of barcodes using frequency guided computer vision." This innovative system and methodology enhance the readability of barcodes, even those of low quality, by utilizing machine learning models trained on synthetic personal information associated with barcodes. The resulting model is implemented in production settings to increase the probability of successfully reading barcode data.

Career Highlights

Li currently works at Socure, Inc., where he applies his expertise to further develop and optimize advanced technological solutions. His position allows him to leverage his patent in real-world applications, directly impacting the efficiency of data capture processes.

Collaborations

Throughout his career, Edward has collaborated with notable colleagues such as Hayden Edelson and Badri Nagabandi. These partnerships highlight the innovative environment in which Li thrives and contribute to the collective advancement in barcode readability technology.

Conclusion

Edward Li's innovative approach to enhancing barcode readability through machine learning exemplifies the spirit of invention and dedication to improving technology. His work at Socure, Inc. and his collaborations with esteemed coworkers signify a promising future in the ongoing evolution of data capture methodologies.

Profile summary based on public USPTO records.
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]
Loading…