Fremont, CA, United States of America

Vinod Balakrishnan

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.2

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2017-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Vinod Balakrishnan

Introduction

Vinod Balakrishnan is an accomplished inventor based in Fremont, California. He has made significant contributions to the field of technology, particularly in the area of optical character recognition and machine learning. With a total of four patents to his name, Balakrishnan's work has the potential to revolutionize how search results are generated from digital media.

Latest Patents

One of his latest patents focuses on systems and methods for generating search results based on optical character recognition techniques and machine-encoded text. This patent discloses innovative systems and methods that utilize machine-encoded text generated by computer vision optical character recognition machine learning techniques performed on digital media. The framework allows for machine learning visual search and text extraction techniques to analyze data within digital media. This enables users to conduct search queries based on the extracted and analyzed data, providing relevant search results regarding objects and text detected in digital media captured on a user device.

Career Highlights

Throughout his career, Vinod Balakrishnan has worked with notable companies such as Yahoo Assets LLC and Excalibur IP, LLC. His experience in these organizations has contributed to his expertise in developing advanced technological solutions.

Collaborations

Vinod has collaborated with talented individuals in the field, including Xiaoyu Guo and Sudarshan Lamkhede. These collaborations have further enriched his work and innovation in technology.

Conclusion

Vinod Balakrishnan's contributions to the field of technology through his patents and collaborations highlight his innovative spirit and dedication to advancing machine learning and optical character recognition. His work continues to pave the way for future advancements in digital media search technologies.

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