Copacabana, Australia

Samuel S Roberts

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Pitney Bowes Inc.. Active years: 2018.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations of Samuel S. Roberts

Introduction

Samuel S. Roberts is an accomplished inventor based in Copacabana, Australia. He is known for his contributions to the field of raster data processing. His innovative approach has led to the development of a unique system that enhances the efficiency of spatial data management.

Latest Patents

Roberts holds a patent for a "System and method for multi-resolution raster data processing." This patent describes an improved method and system for constructing square multi-resolution tiles for use with spatial multi-resolution raster data. The improvement allows for more efficient storage, processing, and display of raster tiles at different resolutions. A base level cell size is defined for the highest required resolution, while lower resolution cell sizes are integer multiples of the base level cell size. This technique ensures that the boundaries for the base level tile and the multi-resolution tiles are coextensive.

Career Highlights

Samuel S. Roberts has made significant strides in his career, particularly through his work at Pitney Bowes Inc. His expertise in data processing has positioned him as a key figure in the development of innovative solutions in the industry.

Collaborations

Roberts has collaborated with notable professionals, including his coworker Steve T. Mann. Their combined efforts have contributed to advancements in raster data processing technologies.

Conclusion

Samuel S. Roberts is a notable inventor whose work in multi-resolution raster data processing has made a significant impact in the field. His innovative methods continue to influence the way spatial data is managed and utilized.

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