Castelnuovo di Garfagnana, Italy

Michele Toni

This inventor holds 1 USPTO granted patent and 1 published patent application. 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: Michele Toni - Innovator in Machine Learning for Retail

Introduction

Michele Toni is an accomplished inventor based in Castelnuovo di Garfagnana, Italy. He has made significant contributions to the field of machine learning, particularly in the context of retail technology. His innovative approach focuses on enhancing the shopping experience through advanced systems for autonomous checkout.

Latest Patents

Michele 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 outlines systems and methods for tracking and re-identifying subjects in a physical space. The method involves generating first and second re-identification feature vectors of a subject identified during a specific time interval from sequences of images. It also includes matching subjects across different time intervals based on similarity scores, ensuring accurate identification in a cashier-less environment. Michele's patent is a testament to his expertise and innovative thinking, with 1 patent to his name.

Career Highlights

Michele is currently employed at Standard Cognition Corporation, where he applies his knowledge of machine learning to develop cutting-edge solutions for retail. His work focuses on creating systems that facilitate seamless shopping experiences, leveraging technology to improve efficiency and customer satisfaction.

Collaborations

Michele collaborates with talented individuals such as Jordan E Fisher and Atul Dhingra, contributing to a dynamic team that drives innovation in the retail technology sector.

Conclusion

Michele Toni is a notable inventor whose work in machine learning is shaping the future of retail. His patent for shopper re-identification in cashier-less stores exemplifies his commitment to innovation and improving the shopping experience.

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