This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignees: Fujitsu Corporation, Microsoft Technology Licensing, LLC. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2025-2026
Title: Anuj Rathore: Innovator in Video Stream Object Detection
Introduction
Anuj Rathore is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of video stream processing, particularly in the area of object detection. His innovative approach has led to the development of a unique patent that enhances the efficiency of object tracking within video streams.
Latest Patents
Anuj Rathore holds a patent titled "Asynchronously updating object detections within a video stream." This invention focuses on improving the accuracy and speed of object detection in video frames. The patent describes a method where a first set of objects is associated with a first frame, and object detection is initiated on a subsequent frame using a different detection model. The invention allows for the tracking of objects across frames, ensuring that updates to object attributes are made efficiently.
Career Highlights
Anuj Rathore is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft involves leveraging advanced technologies to develop innovative solutions in video processing and object detection. His expertise in this domain has positioned him as a valuable asset to the company.
Collaborations
Anuj has collaborated with several talented individuals, including Srinivasan Iyengar and Venkata N Padmanabhan. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Anuj Rathore's contributions to the field of video stream object detection exemplify the impact of innovative thinking in technology. His patent and work at Microsoft highlight his commitment to advancing the capabilities of object detection systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile