Laurel, MD, United States of America

François Garriet Smith

This inventor holds 1 USPTO granted patent. Top assignee: Vantor Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: François Garriet Smith. Retrieved from https://idiyas.com/inventor/françois-garriet-smith

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: François Garriet Smith: Innovator in High Resolution Land Cover Technology

Introduction

François Garriet Smith is a notable inventor based in Laurel, MD (US). He has made significant contributions to the field of land cover technology, particularly through his innovative patent related to high-resolution imaging.

Latest Patents

Smith holds a patent for a technology titled "High Resolution Land Cover (HRLC)." This invention involves receiving a first high-resolution image of a scene along with multiple medium-resolution images taken over time. The process includes segmenting the first image and performing various transformations on the second images. A temporal stack layer is created for statistical analysis, which is then intersected with the segmented first image. This results in spatio-temporal layers that can be classified using a Machine Learning (ML) model to categorize pixels in the first image.

Career Highlights

Smith is currently associated with Vantor Inc., where he applies his expertise in high-resolution imaging and land cover analysis. His work has the potential to impact various applications, including environmental monitoring and urban planning.

Collaborations

One of his notable collaborators is Evan Marcus Blaisdell, with whom he has worked closely on various projects related to his patent.

Conclusion

François Garriet Smith's contributions to high-resolution land cover technology exemplify the innovative spirit of modern inventors. His work continues to influence the field and offers promising advancements in image analysis and classification.

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]
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