Albertville, AL, United States of America

Stephanie Mann


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 93(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Stephanie Mann

Introduction

Stephanie Mann is an accomplished inventor based in Albertville, AL (US). He has made significant strides in the field of machine-readable encoded symbology. His work focuses on enhancing the efficiency and accuracy of part identification through innovative printing technologies.

Latest Patents

Stephanie Mann holds a patent for the invention titled "Direct marking of parts with encoded symbology method, apparatus and symbology." This invention describes an automated method for creating impressions of machine-readable encoded symbology using thermojet type solid object printing technology. The process involves electronically transmitting a software file containing a part identification symbol representation in Computer Assisted Drawing (CAD) software format to a ThermoJet™ type solid object printer. Tiny droplets of a wax-like material are deposited in successive layers to form a three-dimensional pattern insert containing representations of the encoded symbology. This insert is then combined with a pattern replica of a part to be encoded, resulting in a machine-readable 2D Data Matrix type encoded, directly marked part.

Career Highlights

Stephanie Mann has made notable contributions to the field of printing technology through his innovative patent. His work has the potential to revolutionize how parts are marked and identified in various industries. He is currently associated with Roboric Vision Systems, Inc., where he continues to develop and refine his inventions.

Collaborations

Stephanie collaborates with Donald L. Roxby, who is also involved in the innovative projects at Roboric Vision Systems, Inc. Their combined expertise contributes to the advancement of technologies in their field.

Conclusion

Stephanie Mann's innovative work in machine-readable encoded symbology showcases his dedication to improving part identification methods. His patent reflects a significant advancement in printing technology, and his contributions are poised to impact various industries positively.

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