This inventor holds 1 USPTO granted patent and 6 published patent applications. Top assignee: Nvidia Corporation. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Rohit Ramesh Vaswani: Innovator in Video Processing Technologies
Introduction
Rohit Ramesh Vaswani is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of video processing through his innovative patent. His work focuses on enhancing the efficiency of video processing functions using advanced machine learning techniques.
Latest Patents
Rohit holds a patent titled "Workload-based dynamic throttling of video processing functions using machine learning." This patent describes systems and methods that dynamically throttle video processing and streaming based on workload. The technology captures live video from various sources, such as cameras, and processes it through a video processing engine. The engine performs operations like object detection, tracking, and classification to generate valuable characterization data. The system monitors resource usage and performance to produce workload data, allowing for dynamic reconfiguration of video processing and streaming based on real-time metrics.
Career Highlights
Rohit is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia emphasizes the integration of machine learning in video processing, showcasing his commitment to innovation in this rapidly evolving field.
Collaborations
Rohit collaborates with talented individuals such as Bhanu Nagendra Pisupati and Rahul Maruti Bhagwat. Their combined expertise contributes to the advancement of video processing technologies and enhances the overall impact of their work.
Conclusion
Rohit Ramesh Vaswani is a key figure in the realm of video processing innovations. His patent on workload-based dynamic throttling exemplifies the intersection of machine learning and video technology. His contributions continue to shape the future of video processing systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
