Zurich, Switzerland

Magdalena Polac

This inventor holds 2 USPTO granted patents. Top assignee: Pxl Vision Ag. Active years: 2022-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Magdalena Polac. Retrieved from https://idiyas.com/inventor/magdalena-polac

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


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Magdalena Polac

Introduction

Magdalena Polac is a prominent inventor based in Zurich, Switzerland. She has made significant strides in the field of identification technology, particularly through her innovative use of deep learning techniques. With a total of 2 patents to her name, Polac is recognized for her contributions to enhancing user authentication processes.

Latest Patents

Polac's latest patents focus on systems for remote identification of users. The first patent, titled "ID verification with a mobile device," describes a system that utilizes deep learning techniques for authenticating users from identification documents. This system automates the verification of these documents by validating their security features. It determines the expected features in a valid identification document and checks for their presence, employing advanced techniques to assess direction-sensitive features. Additionally, the system can ascertain the liveness of a user indicated by the identification document through a deep learning model trained to identify facial spoofing attacks.

The second patent, "Facial liveness detection with a mobile device," also centers on remote user identification. Similar to her first patent, this system employs deep learning techniques for user authentication and automated verification of identification documents. It further ensures that a live person, as indicated by the document, is present. The liveness detection is achieved through a deep learning model trained using data extracted from facial feature locations in training images.

Career Highlights

Magdalena Polac is currently associated with Pxl Vision AG, where she continues to develop innovative solutions in the field of identification technology. Her work has positioned her as a key player in advancing the capabilities of mobile identification systems.

Collaborations

Polac collaborates with talented individuals in her field, including Michael Goettlicher and Mikhail Vorobiev. These partnerships enhance her research and development efforts, contributing to the success of her projects.

Conclusion

Magdalena Polac's contributions to the field of identification technology through her innovative patents demonstrate her expertise and commitment to advancing user authentication methods. Her work continues to influence the industry and pave the way for future innovations.

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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