The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 10, 2023

Filed:

Jan. 04, 2023
Applicant:

Nortek Security & Control Llc, Carlsbad, CA (US);

Inventors:

Ilya Popov, Nizhny Novgorod, RU;

Dmitry Yashunin, Nizhny Novgorod, RU;

Semen Budenkov, Nizhniy Novgorod, RU;

Krishna Khadloya, San Jose, CA (US);

Assignee:

Nice North America LLC, Carlsbad, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 20/54 (2022.01); G06T 5/20 (2006.01); G06T 5/00 (2006.01); G06V 20/56 (2022.01); G06F 18/24 (2023.01); G06V 30/148 (2022.01); G06V 20/62 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/54 (2022.01); G06F 18/24 (2023.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06V 20/56 (2022.01); G06V 20/63 (2022.01); G06V 30/15 (2022.01); G06V 20/625 (2022.01); G06V 30/10 (2022.01);
Abstract

A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.


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