Nizhny Novgorod, Russia

Alexey Spizhevoy

USPTO Granted Patents = 7 

Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 39(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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7 patents (USPTO):

Title: Alexey Spizhevoy: Innovator in Eye Image Processing Technologies

Introduction

Alexey Spizhevoy is a prominent inventor based in Nizhny Novgorod, Russia. He has made significant contributions to the field of eye image processing, holding a total of six patents. His work focuses on advanced technologies that enhance the quality and segmentation of eye images, which have applications in augmented reality and biometric authentication.

Latest Patents

Among his latest patents is a system for eye image segmentation and image quality estimation. This invention utilizes a convolutional neural network with a merged architecture to process eye images, generating both segmented images and quality assessments. The segmented images can identify various regions of the eye, including the background, sclera, iris, and pupil. Another notable patent involves a deep neural network designed for iris identification. This system employs a triplet network architecture to create an embedding space that accurately represents a person's eye images, facilitating secure user authentication.

Career Highlights

Alexey Spizhevoy is currently employed at Magic Leap, Inc., a company known for its innovative work in augmented reality technologies. His role involves leveraging his expertise in neural networks to develop cutting-edge solutions for eye image processing.

Collaborations

Throughout his career, Alexey has collaborated with notable professionals in the field, including Adrian Kaehler and Vijay Badrinarayanan. These collaborations have contributed to the advancement of technologies in eye image analysis and biometric systems.

Conclusion

Alexey Spizhevoy's contributions to eye image processing technologies demonstrate his innovative spirit and commitment to advancing the field. His patents reflect a deep understanding of neural networks and their applications in real-world scenarios.

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