Mountain View, CA, United States of America

Kourosh Derakshan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kourosh Derakshan: Innovator in Face Authentication Technology

Introduction

Kourosh Derakshan is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of face authentication technology. His innovative work focuses on enhancing the efficiency and accuracy of facial recognition systems.

Latest Patents

Kourosh holds a patent for "Automatic exposure and gain control for face authentication." This patent describes techniques and systems that enable automatic exposure and gain control for face authentication. The system includes a user device that initializes a gain for a near-infrared camera system using a default gain. The device ascertains patch-mean statistics of one or more regions-of-interest from the most-recently captured image. It computes an update in the initialized gain to provide an updated gain that scales the regions-of-interest toward a target mean-luminance value. The user device dampens the updated gain using hysteresis and sets the initialized gain for the near-infrared camera system to the dampened updated gain. Kourosh has 1 patent to his name.

Career Highlights

Kourosh is currently employed at Google Inc., where he continues to develop innovative technologies. His work has been instrumental in advancing the capabilities of face authentication systems.

Collaborations

Kourosh has collaborated with talented individuals such as Adarsh Prakash Murthy Kowdle and Ruben Manuel Velarde. Their combined expertise has contributed to the success of various projects within the company.

Conclusion

Kourosh Derakshan is a pioneering inventor whose work in face authentication technology is shaping the future of security systems. His contributions are vital in enhancing the reliability and effectiveness of facial recognition technologies.

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