Patents by Inventor Semen Budenkov

Semen Budenkov has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • License plate detection and recognition system
    Patent number: 11783589
    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.
    Type: Grant
    Filed: January 4, 2023
    Date of Patent: October 10, 2023
    Assignee: Nice North America LLC
    Inventors: Ilya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya
  • LICENSE PLATE DETECTION AND RECOGNITION SYSTEM
    Publication number: 20230154193
    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.
    Type: Application
    Filed: January 4, 2023
    Publication date: May 18, 2023
    Inventors: IIya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya
  • License plate detection and recognition system
    Patent number: 11580753
    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.
    Type: Grant
    Filed: May 11, 2021
    Date of Patent: February 14, 2023
    Assignee: Nortek Security & Control LLC
    Inventors: Ilya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya
  • LICENSE PLATE DETECTION AND RECOGNITION SYSTEM
    Publication number: 20210264168
    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.
    Type: Application
    Filed: May 11, 2021
    Publication date: August 26, 2021
    Inventors: IIya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya
  • License plate detection and recognition system
    Patent number: 11030466
    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.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: June 8, 2021
    Assignee: Nortek Security & Control LLC
    Inventors: Ilya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya
  • LICENSE PLATE DETECTION AND RECOGNITION SYSTEM
    Publication number: 20190251369
    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.
    Type: Application
    Filed: February 11, 2019
    Publication date: August 15, 2019
    Inventors: Ilya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya