Houston, TX, United States of America

David Lyman

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: David Lyman - Innovator in Image Analysis Systems

Introduction

David Lyman is an accomplished inventor based in Houston, Texas. He has made significant contributions to the field of image analysis, particularly in determining the age of building roofs through innovative methods and systems. His work has implications for various industries, including construction and real estate.

Latest Patents

David Lyman holds a patent for "Image analysis systems and methods for determining building roof age." This patent describes methods, non-transitory computer-readable media, and roof analysis systems that preprocess overhead images obtained based on a geographic location request. The overhead images depict a building at different historical points in time. A neural network is utilized to analyze input data structures derived from these images. The neural network is trained to identify changes in the roof of the building and generate an output data structure that represents these changes. The system ultimately provides a roof age via a user interface, based on the likelihood of changes or the time interval between the overhead images and the current time.

Career Highlights

David Lyman is currently employed at Nearmap US, Inc., where he continues to develop and refine his innovative image analysis technologies. His work has positioned him as a key player in the field, contributing to advancements that enhance the understanding of building conditions over time.

Collaborations

David collaborates with talented professionals such as Julius Simonelli and Ilsoo Seong. Their combined expertise fosters an environment of innovation and creativity, leading to the development of cutting-edge solutions in image analysis.

Conclusion

David Lyman's contributions to image analysis systems demonstrate his commitment to innovation and technology. His patent for determining building roof age showcases the potential of neural networks in practical applications. His work continues to influence the industry and pave the way for future advancements.

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