Sunnyvale, CA, United States of America

Atul Dhingra

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Standard Cognition, Corp.. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Atul Dhingra: Innovator in Machine Learning for Autonomous Checkout

Introduction

Atul Dhingra is a prominent inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of machine learning, particularly in the context of cashier-less stores. His innovative approach to re-identifying shoppers has the potential to revolutionize the retail experience.

Latest Patents

Atul Dhingra holds a patent for a groundbreaking invention titled "Machine learning-based re-identification of shoppers in a cashier-less store for autonomous checkout." This patent describes systems and methods for tracking and re-identifying subjects in a real-world environment. The method involves generating first and second re-identification feature vectors of a subject identified from a sequence of images. It also includes matching subjects identified at different time intervals based on similarity scores, ensuring accurate tracking in a cashier-less setting. He has 1 patent to his name.

Career Highlights

Atul Dhingra is currently employed at Standard Cognition Corporation, where he applies his expertise in machine learning to enhance autonomous checkout systems. His work focuses on developing innovative solutions that streamline the shopping experience for consumers.

Collaborations

Atul collaborates with talented individuals such as Michele Toni and Jordan E Fisher, contributing to a dynamic team environment that fosters innovation and creativity.

Conclusion

Atul Dhingra's contributions to machine learning and autonomous checkout systems highlight his role as a leading inventor in the field. His innovative patent demonstrates the potential for technology to transform the retail landscape.

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