Oak Hill, VA, United States of America

Nikhil Kumar Gupta

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Nikhil Kumar Gupta: Innovator in Digital Media Analysis

Introduction

Nikhil Kumar Gupta is a notable inventor based in Oak Hill, VA (US). He has made significant contributions to the field of digital media analysis, particularly in the identification of individuals within digital files. His innovative approach combines advanced algorithms to enhance the accuracy of face recognition in video data.

Latest Patents

Nikhil Kumar Gupta holds a patent for the invention titled "Identification of individuals in a digital file using media analysis techniques." This patent describes a sophisticated system that identifies individuals within a digital file by analyzing video footage. The system detects faces of unidentified individuals at various locations in the video, dividing the digital file into segments for thorough analysis. By applying detection and recognition algorithms, the system extracts feature vectors that represent the identities of detected faces. These vectors are stored in computer memory and queried to match unidentified individuals with target individuals, generating a confidence level for the accuracy of the match and producing a report for users.

Career Highlights

Nikhil is currently employed at Percipient.ai Inc., where he continues to develop innovative solutions in the realm of digital media. His work focuses on enhancing the capabilities of media analysis technologies, contributing to advancements in the field.

Collaborations

Nikhil has collaborated with talented professionals such as Balan Rama Ayyar and Anantha Krishnan Bangalore, further enriching his work environment and fostering innovation.

Conclusion

Nikhil Kumar Gupta's contributions to digital media analysis through his patent and work at Percipient.ai Inc. highlight his role as a forward-thinking inventor. His innovative techniques in identifying individuals in digital files pave the way for advancements in media analysis technologies.

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