Erlangen, Germany

Veit Pirkl


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Veit Pirkl: Innovator in Facial Recognition Technology

Introduction

Veit Pirkl is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of facial recognition technology, particularly in methods for detecting forgery. His innovative approach addresses critical security concerns in biometric identification systems.

Latest Patents

Veit Pirkl holds a patent for a method designed to detect forgery in facial recognition systems. The patent, titled "Method for detecting forgery in facial recognition and computer readable medium and vehicle for performing such method," outlines a comprehensive process. This method involves selecting an illumination pattern with varying intensities, controlling a light-emitting device to emit light pulses, and capturing images of the eye region during each pulse. The process includes determining the presence of a glint in the eye region, measuring glint intensity, and extracting numerical features to assess the authenticity of the face being analyzed. If the extracted features do not match a reference, a signal is output indicating that the face is forged.

Career Highlights

Veit Pirkl is associated with E.solutions GmbH, where he applies his expertise in developing advanced technologies. His work focuses on enhancing the reliability and security of facial recognition systems, which are increasingly used in various applications.

Collaborations

Veit collaborates with talented professionals in his field, including Thomas Köhler and Felix Lugauer-Breunig. These collaborations foster innovation and contribute to the advancement of technology in facial recognition.

Conclusion

Veit Pirkl's contributions to the field of facial recognition technology exemplify his commitment to innovation and security. His patented methods provide valuable solutions to the challenges of forgery detection, making significant strides in biometric identification systems.

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