San Ramon, CA, United States of America

Prashant Chandrasekhar

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Prashant Chandrasekhar. Retrieved from https://idiyas.com/inventor/prashant-chandrasekhar

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Prashant Chandrasekhar: Patent Inventor in Autonomous Systems

Introduction

Prashant Chandrasekhar is an inventor based in San Ramon, California, and works at NVIDIA Corporation. His patent work addresses duplicate-frame detection for multi-camera autonomous systems.

Latest Patents

Chandrasekhar is associated with 1 patent: “Duplicate Frame Detection in Multi-Camera Views for Autonomous Systems and Applications.” The invention describes a transformation-invariant technique that determines a sequence number for an output frame containing views captured by one or more cameras, compares pixel values, and uses the sequence number and comparison results to guide further processing. This approach is intended to help identify duplicate frames in multi-camera applications.

Career Highlights

Chandrasekhar’s listed patent reflects work on image processing and frame management for autonomous systems. His professional affiliation is NVIDIA Corporation.

Collaborations

The patent information names Jonathan Baird Mccaffrey and Richard Gavin Bramley as coworkers associated with Chandrasekhar.

Conclusion

Prashant Chandrasekhar’s patent focuses on detecting duplicate frames across multi-camera views, supporting the processing needs of autonomous systems.

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]
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