London, United Kingdom

Aleksandr V Segal


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations of Aleksandr V Segal

Introduction

Aleksandr V Segal is a notable inventor based in London, GB. He has made significant contributions to the field of image processing, particularly in the decoding of barcodes. His innovative approach addresses challenges related to image focus and clarity, making his work highly relevant in today's technology-driven world.

Latest Patents

One of his key patents involves decoding barcodes from images with varying degrees of focus. This patent presents various algorithms that enable an image of a barcode, captured by a camera of an electronic device, to be analyzed and decoded for use in obtaining information about an object or item associated with the barcode. The algorithms can account for variations in focus of the image, which may result in blur due to movement or a lack of auto-focus features. An offline training phase can be utilized to generate a set of possible symbol appearance templates, where at least some of the templates reflect simulations for varying levels and types of noise in an image. A decoding phase compares these templates to a captured image and performs a sequence-wide optimization to determine the overall most likely sequence of digits.

Career Highlights

Aleksandr is currently associated with A9.com, Inc., where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications and effectiveness in real-world scenarios.

Collaborations

He has collaborated with talented individuals such as Arnab S Dhua and Max Delgadillo, Jr., contributing to a dynamic and innovative work environment.

Conclusion

Aleksandr V Segal's contributions to barcode decoding technology exemplify the intersection of innovation and practicality. His work not only enhances the efficiency of barcode reading but also sets a foundation for future advancements in image processing.

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