Tokyo, Japan

Rajat Saini

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Toyota Jidosha Kabushiki Kaisha. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rajat Saini. Retrieved from https://idiyas.com/inventor/rajat-saini

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Rajat Saini: Innovator in Human Re-Identification Technology

Introduction

Rajat Saini is a prominent inventor based in Tokyo-to, Japan. He has made significant contributions to the field of computer vision, particularly in the area of human re-identification. His innovative approach combines advanced techniques in image processing and machine learning.

Latest Patents

Rajat Saini holds a patent for a "Method and system and non-transitory computer-readable storage medium for human re-identification using image data." This patent outlines a comprehensive method for re-identifying individuals in images. The process begins with estimating the pose of a human in an image. It continues with clipping patches from the image based on the estimated pose. Positional information for each patch is generated and input into a vision transformer encoder. The output from this encoder is then processed by a neural network, which ultimately provides the re-identification result.

Career Highlights

Rajat Saini is currently employed at Toyota Jidosha Kabushiki Kaisha, where he applies his expertise in developing cutting-edge technologies. His work focuses on enhancing the capabilities of computer vision systems, which are crucial for various applications in the automotive industry.

Collaborations

Due to space constraints, the collaborations section has been omitted.

Conclusion

Rajat Saini's contributions to human re-identification technology exemplify the innovative spirit of modern inventors. His work not only advances the field of computer vision but also has practical implications for industries such as automotive technology.

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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