Moscow, Russia

Andrew Zharkov

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Abbyy Development Inc.. Active years: 2023-2025.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Andrew Zharkov in Object Detection

Introduction

Andrew Zharkov is an accomplished inventor based in Moscow, Russia. He has made significant contributions to the field of image processing and neural networks. With a total of 2 patents, his work focuses on the detection and identification of objects in images.

Latest Patents

Zharkov's latest patents revolve around advanced mechanisms for identifying objects in images using neural networks. The methods disclosed involve obtaining an image and representing each element of the image through input vectors. Each input vector contains parameters related to the visual appearance of the respective elements. These vectors are processed through a subnetwork of a neural network to generate output vectors associated with each image element. The process identifies a subset of elements belonging to the object in the image and determines the object's location based on these elements.

Career Highlights

Andrew Zharkov is currently employed at Abbyy Development Inc., where he continues to innovate in the field of image recognition technology. His work has been instrumental in advancing the capabilities of neural networks in practical applications.

Collaborations

Zharkov collaborates with Ivan Germanovich Zagaynov, contributing to the development of cutting-edge technologies in their field.

Conclusion

Andrew Zharkov's contributions to object detection and image processing highlight his role as a leading inventor in the field. His innovative patents and ongoing work at Abbyy Development Inc. continue to push the boundaries of technology.

Profile summary based on public USPTO records.
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