Pune, India

Preeti Gupta

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Schlumberger Technology Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Preeti Gupta. Retrieved from https://idiyas.com/inventor/preeti-gupta-2jrl0v2e

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 = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Preeti Gupta: Innovator in Image Digitization

Introduction

Preeti Gupta is a talented inventor based in Pune, India. She has made significant contributions to the field of image processing through her innovative patent. Her work focuses on utilizing machine learning techniques to enhance the digitization of image-based data.

Latest Patents

Preeti Gupta holds a patent for a method titled "Raster image digitization using machine learning techniques." This method involves several steps, including receiving an image file with target objects, generating an intermediate image by removing noise using a denoising machine learning model, and identifying the target objects through an object segmentation machine learning model. The process also includes discretizing the identified objects and storing them in a data file for visualization.

Career Highlights

Preeti is currently employed at Schlumberger Technology Corporation, where she applies her expertise in machine learning and image processing. Her innovative approach has positioned her as a key player in her field, contributing to advancements in technology.

Collaborations

Preeti has collaborated with notable colleagues, including Atul Laxman Katole and Hiren Maniar. These partnerships have fostered a creative environment that encourages the exchange of ideas and innovation.

Conclusion

Preeti Gupta's work in image digitization exemplifies the impact of machine learning on technology. Her contributions continue to shape the future of image processing and demonstrate the importance of innovation in this field.

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]
Loading…