Hyderabad Telangana, India

Yeshwanth Reddy


Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2022

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Yeshwanth Reddy: Innovator in Document Image Processing

Introduction

Yeshwanth Reddy is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of document image processing, particularly through his innovative patents. With a total of two patents to his name, Reddy is recognized for his advancements in automated systems that enhance the extraction of text from images.

Latest Patents

Reddy's latest patents focus on automated systems and methods for identifying fields and regions of interest within document images. These systems are designed to extract text from images using a combination of optical character recognition processes and neural network-based analysis. The technology trains a machine-learning object recognition model to identify text within images by comparing known and unknown text. In certain embodiments, the identified text can be used to pinpoint corresponding regions of interest for the extraction of image data, which may be indexed based on the identified text.

Career Highlights

Yeshwanth Reddy is currently employed at Optum Technology, Inc., where he continues to develop innovative solutions in the realm of document image processing. His work has contributed to advancements in how text is extracted and utilized from images, showcasing his expertise in the field.

Collaborations

Reddy collaborates with talented individuals such as V Kishore Ayyadevara and Vineet Shukla, who contribute to the innovative environment at Optum Technology, Inc. Their teamwork fosters creativity and drives the development of cutting-edge technologies.

Conclusion

Yeshwanth Reddy's contributions to document image processing through his patents highlight his role as an innovator in the field. His work not only enhances the efficiency of text extraction from images but also sets a foundation for future advancements in technology.

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