Palo Alto, CA, United States of America

Eleony Moorhead


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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2 patents (USPTO):Explore Patents

Title: Eleony Moorhead: Innovator in Neural Network-Based Optical Character Recognition

Introduction

Eleony Moorhead is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of optical character recognition through his innovative work. With a total of 2 patents, Moorhead is recognized for his advancements in neural network technologies.

Latest Patents

Moorhead's latest patents focus on neural network-based optical character recognition. These patents describe methods, systems, and apparatuses, including computer programs encoded on computer storage media, for enhancing the accuracy and efficiency of optical character recognition. One embodiment of his system generates a set of bounding boxes based on reshaped image portions that correspond to image data of a source image. The system merges any intersecting bounding boxes into a merged bounding box, creating a set of merged bounding boxes indicative of image data portions that likely portray one or more words. Each merged bounding box is then processed by the system through a neural network to identify the words represented in the respective merged bounding box. The identified words are displayed according to a standardized font and a confidence score.

Career Highlights

Moorhead is currently employed at Vannevar Labs, Inc., where he continues to push the boundaries of technology in his field. His work has garnered attention for its innovative approach to solving complex problems in optical character recognition.

Collaborations

Moorhead collaborates with talented individuals such as Daniel Goodman and Nathaniel Honka, contributing to a dynamic and innovative work environment.

Conclusion

Eleony Moorhead's contributions to neural network-based optical character recognition highlight his role as a leading inventor in the technology sector. His innovative patents and collaborative efforts continue to shape the future of optical character recognition.

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