Santa Clara, CA, United States of America

Long Chen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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2 patents (USPTO):Explore Patents

Title: Innovations by Long Chen in Retail Technology

Introduction

Long Chen is an accomplished inventor based in Santa Clara, CA, known for his contributions to retail technology. He holds two patents that focus on enhancing the efficiency and effectiveness of camera systems in retail environments. His work aims to improve customer experience and streamline operations in automated-checkout stores.

Latest Patents

One of Long Chen's latest patents is a "Method to generate models for testing and training in a retail environment for a camera simulation system." This application relates to systems, methods, devices, and other techniques that can be utilized to generate models for a camera system simulation in a retail environment and perform simulations to perfect these models. Another significant patent is for "Tracking persons in an automated-checkout store." This invention includes methods, systems, and apparatus for tracking a product item in an automated-checkout store. It involves receiving data collected by multiple image sensors, identifying features of a person, extracting relevant data, and determining the person's location over time based on the aggregated data.

Career Highlights

Long Chen is currently employed at Aifi Inc., where he applies his expertise in developing innovative solutions for retail technology. His work has significantly contributed to the advancement of automated systems that enhance the shopping experience.

Collaborations

Long Chen collaborates with talented individuals such as Ying Zheng and Steve Gu, who contribute to the innovative projects at Aifi Inc. Their teamwork fosters a creative environment that drives technological advancements in the retail sector.

Conclusion

Long Chen's innovative patents and contributions to retail technology demonstrate his commitment to improving customer experiences and operational efficiency. His work continues to influence the future of automated retail systems.

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