Patents by Inventor Mariana Iuliana Georgescu

Mariana Iuliana Georgescu 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).

  • System and method for automatic detection and recognition of people wearing personal protective equipment using deep learning
    Patent number: 11482030
    Abstract: A system and method for determining whether persons depicted in images are wearing personal protective equipment (PPE) is disclosed. The system includes a PPE detection platform that, during a testing phase, comprises a person detector configured to detect persons in images and a deep neural network PPE classifier. The PPE classifier comprises a spatial attention module and is trained to predict whether or not a PPE item is present in the image sub-region corresponding to the detected person. During a training phase, the PPE detection platform comprises a body pose estimator that, based on the output of the person detector, determines a pose of the detected person's body and provides a spatial attention supervision signal used to train the spatial attention module of the PPE classifier and tune the PPE classifier. The PPE platform is configured to bypass the body pose estimator during the inference phase.
    Type: Grant
    Filed: August 18, 2020
    Date of Patent: October 25, 2022
    Assignee: SecurifAI LLC
    Inventors: Radu Tudor Ionescu, Mariana Iuliana Georgescu, Adrian Şandru, Georgian-Emilian Duţă
  • SYSTEM AND METHOD FOR AUTOMATIC DETECTION AND RECOGNITION OF PEOPLE WEARING PERSONAL PROTECTIVE EQUIPMENT USING DEEP LEARNING
    Publication number: 20220058381
    Abstract: A system and method for determining whether persons depicted in images are wearing personal protective equipment (PPE) is disclosed. The system includes a PPE detection platform that, during a testing phase, comprises a person detector configured to detect persons in images and a deep neural network PPE classifier. The PPE classifier comprises a spatial attention module and is trained to predict whether or not a PPE item is present in the image sub-region corresponding to the detected person. During a training phase, the PPE detection platform comprises a body pose estimator that, based on the output of the person detector, determines a pose of the detected person's body and provides a spatial attention supervision signal used to train the spatial attention module of the PPE classifier and tune the PPE classifier. The PPE platform is configured to bypass the body pose estimator during the inference phase.
    Type: Application
    Filed: August 18, 2020
    Publication date: February 24, 2022
    Inventors: Radu Tudor Ionescu, Mariana Iuliana Georgescu, Adrian Sandru, Georgian-Emilian Dutä