Somerset, NJ, United States of America

Shreeya Mody

This inventor holds 1 USPTO granted patent. Top assignee: Aveva Software, LLC. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Shreeya Mody: Innovator in Vision AI Technology

Introduction

Shreeya Mody is a talented inventor based in Somerset, NJ (US). She has made significant contributions to the field of technology, particularly in the area of vision AI for data collection. Her innovative approach has led to the development of a unique patent that enhances asset management through advanced imaging techniques.

Latest Patents

Shreeya holds a patent for "Server systems and methods using vision AI for data collection." This system is designed to automatically associate images with asset tags, utilizing a historian server system. The technology involves sending a path command to a mobile asset, which includes instructions for navigating to an instrumented asset. Once there, a collection command is issued to gather asset data, which consists of a digital representation of the asset, along with its identification, data values indicative of physical parameters, and a timestamp. The system effectively generates a tag value that links the data, identification, and timestamp, streamlining the process of asset management.

Career Highlights

Shreeya Mody is currently employed at Aveva Software, LLC, where she continues to innovate and develop cutting-edge solutions. Her work focuses on integrating vision AI into practical applications that improve efficiency and accuracy in data collection.

Collaborations

Shreeya collaborates with talented individuals such as Arijeet Majumdar and John Leighton, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Shreeya Mody is a remarkable inventor whose work in vision AI technology is paving the way for advancements in asset management. Her contributions are not only innovative but also essential for the future of data collection systems.

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