Biot, France

Sebastian Bildner

This inventor holds 1 USPTO granted patent. Top assignee: Amadeus S.a.s.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sebastian Bildner. Retrieved from https://idiyas.com/inventor/sebastian-bildner-8ue37zs9

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sebastian Bildner and Document-Scanning Innovation.

Introduction

Sebastian Bildner is an inventor based in Biot, France. His patent work includes a method and device designed to make scanning multiple paper documents easier and more reliable.

Latest Patents

Bildner is associated with one patent, titled “Method and Device for Scanning Multiple Documents for Further Processing.” The invention uses a user device to display a live scene and recognize paper documents. A multilayer convolutional neural network identifies each document’s corner coordinates, which are used to create a frame around it and highlight it on the device’s display.

The system guides the user to move the device into a suitable scanning position, taking into account image resolution, document coverage, and sharpness. Once the device reaches that position, it automatically captures an image of at least one document and transmits it for further processing.

Career Highlights

Bildner is associated with Amadeus S.A.S. His patent reflects work on combining document recognition, augmented-reality guidance, and automated image capture to support document processing. His listed portfolio includes 1 patent.

Collaborations

The provided information lists Paul Krion and Swagat Parida as Bildner’s coworkers. Their shared professional context is associated with Amadeus S.A.S.

Conclusion

Sebastian Bildner’s documented invention focuses on guiding users through accurate, automated scanning of multiple paper documents, linking computer vision and augmented-reality techniques with further processing.

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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