Chicago, IL, United States of America

Nazanin Makkinejad


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations by Nazanin Makkinejad

Introduction

Nazanin Makkinejad is an accomplished inventor based in Chicago, IL. She has made significant contributions to the field of vehicle license plate recognition technology. Her innovative approach has led to the development of a patented technique that enhances the accuracy and efficiency of recognizing license plates in various conditions.

Latest Patents

Nazanin holds a patent for "Optimized Vehicle License Plate Recognition." This invention focuses on techniques for optimizing vehicle license plate recognition in images. The method involves training a set of convolutional neural networks (CNNs) using images where license plates are identified as a whole, rather than by individual characters or segments. The trained CNNs can localize license plates in target images and determine the issuing jurisdiction and ordered set of characters without relying on character segmentation. This advancement allows for greater tolerance in detecting and decoding license plates under varying lighting conditions, deformations, occlusions, and other challenges.

Career Highlights

Nazanin Makkinejad has established herself as a key figure in her field through her innovative work at Ccc Information Services Inc. Her expertise in machine learning and image processing has positioned her as a leader in developing advanced recognition technologies.

Collaborations

Nazanin collaborates with talented professionals in her field, including Neda Hantehzadeh and Christoph Plenio. These collaborations enhance her research and development efforts, contributing to the success of her projects.

Conclusion

Nazanin Makkinejad's contributions to vehicle license plate recognition technology exemplify her innovative spirit and dedication to advancing the field. Her patented techniques are set to improve the efficiency and accuracy of license plate recognition systems, showcasing her impact on technology.

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