MONTREAL, Canada

Minh-Kim Dao



Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Minh-Kim Dao: Innovator in Document Analysis

Introduction

Minh-Kim Dao is a notable inventor based in Montreal, Canada. He has made significant contributions to the field of document analysis with his innovative solutions aimed at improving data extraction from business documents.

Latest Patents

Minh-Kim is the holder of a patent titled "Data extraction from short business documents - Systems and methods for document analysis." This groundbreaking invention involves a sophisticated process for handling images of documents. Initially, an image containing at least one document is assessed for its quality. If the quality is found to be inadequate, adjustments are made to ensure it meets the necessary standards for further processing. Once the image quality is confirmed, the image advances to an initial processing stage, where the boundaries of the documents are identified and their orientation is adjusted. Following this, the data extraction stage utilizes clusters of information within the document, where bounding boxes are applied to highlight key data areas, enabling efficient collection of relevant information.

Career Highlights

Minh-Kim currently works at ServiceNow Canada Inc., a company renowned for its innovative digital workflows that help businesses operate more efficiently. His work here reflects his expertise in document analysis and highlights his commitment to advancing technology in this sector.

Collaborations

Throughout his endeavors, Minh-Kim has collaborated with talented coworkers such as Elena Busila and Jerome Pasquero. Their partnership showcases a dynamic team dedicated to pushing the boundaries of what is possible in the realm of document processing and analysis.

Conclusion

Minh-Kim Dao's contributions to innovation in document analysis serve as a testament to his skill and dedication as an inventor. With his patent, he has paved the way for more efficient data extraction methods, which are crucial in today’s data-driven landscape. His work continues to inspire and set the stage for future advancements in the field.

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