Sterling, VA, United States of America

Anantha Krishnan Bangalore

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: Anantha Krishnan Bangalore: Innovator in Digital Media Analysis

Introduction

Anantha Krishnan Bangalore is a notable inventor based in Sterling, 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

Anantha holds a patent for the "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 and applies detection algorithms to each segment of the digital file. For each detected face, a recognition algorithm extracts feature vectors that represent the identity of the detected faces, which are then stored in computer memory. The system further queries these feature vectors to match unidentified individuals with target individuals, determining a confidence level for the accuracy of the match and generating a report for the user.

Career Highlights

Anantha is currently employed at Percipient.ai Inc., where he continues to develop innovative solutions in the realm of digital media analysis. His work has positioned him as a key player in the advancement of technologies that enhance the identification processes in video data.

Collaborations

Anantha collaborates with talented professionals in his field, including Balan Rama Ayyar and Jerome Berclaz. Their combined expertise contributes to the innovative projects at Percipient.ai Inc.

Conclusion

Anantha Krishnan Bangalore is a pioneering inventor whose work in digital media analysis is shaping the future of identification technologies. His contributions are vital in enhancing the accuracy and efficiency of recognizing individuals in digital files.

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