Chapel Hill, NC, United States of America

Andrew Schiller

This inventor holds 1 USPTO granted patent. Top assignee: Validic. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Schiller. Retrieved from https://idiyas.com/inventor/andrew-schiller-xu8w53lk

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Andrew Schiller: Innovator in Optical Character Recognition

Introduction

Andrew Schiller is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of optical character recognition, particularly in the context of external segmented displays. His innovative approach has the potential to enhance the efficiency of data reading applications.

Latest Patents

Andrew Schiller holds a patent for an invention titled "Optical reading of external segmented display." This patent describes a method for optical character recognition of external segmented displays using a camera connected to a reading device and a data reading application on the reading device. He has 1 patent to his name, showcasing his expertise in this specialized area.

Career Highlights

Currently, Andrew Schiller is associated with Validic, a company that focuses on health data integration and management. His work at Validic allows him to apply his innovative ideas in a practical setting, contributing to advancements in health technology.

Collaborations

Andrew has collaborated with notable colleagues, including Eric Reifsnider and Stanley J. Smith. These partnerships have likely enriched his work and fostered a collaborative environment for innovation.

Conclusion

In summary, Andrew Schiller is a distinguished inventor whose work in optical character recognition has the potential to transform data reading applications. His contributions at Validic and his collaborations with other professionals further highlight his impact in the field.

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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