This inventor holds 1 USPTO granted patent. Top assignee: Socure, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
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.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
