Shuo Tan

Title: Innovations by Inventor Shuo Tan

Introduction

Shuo Tan is a prominent inventor based in Campbell, California, known for his contributions to the field of machine learning and geospatial data. With a total of five patents to his name, he has made significant strides in developing methods and systems that enhance the generation and analysis of artificial parcel data.

Latest Patents

One of Shuo Tan's latest patents is focused on "Machine learning for artificial parcel data generation." This invention provides methods and systems for generating artificial parcel data by utilizing geospatial imagery that depicts buildings and their surrounding areas. The method involves applying machine learning models to create data that represents the shape and location of legal land parcels occupied by buildings. Additionally, it includes accessing building footprint data and storing both the artificial parcel data and building footprint data in association with the building's address. The system is designed to respond to queries related to the building's address or geospatial coordinates, providing relevant data accordingly.

Another notable patent is for "Annotation tools for reconstructing three-dimensional roof geometry." This invention outlines methods and systems for generating geometric models of pitched roofs based on multiview imagery. The process involves establishing a three-dimensional coordinate space for the imagery and allowing users to define various aspects of the pitched roof through an annotation platform. This innovative approach enhances the accuracy and efficiency of roof modeling.

Career Highlights

Shuo Tan is currently employed at Ecopia Tech Corporation, where he continues to develop cutting-edge technologies in the realm of geospatial data and machine learning. His work has positioned him as a key player in the industry, contributing to advancements that have practical applications in urban planning and development.

Collaborations

Shuo has collaborated with notable colleagues, including Yuanming Shu and Hongbo Wang, who share his passion for innovation and technology. Their combined expertise fosters a collaborative environment that drives forward-thinking solutions in their projects.

Conclusion

Shuo Tan's innovative work in machine learning and geospatial data generation exemplifies the impact of technology on modern urban development. His patents reflect a commitment to enhancing the accuracy and efficiency of data analysis, making significant contributions to the field.