Patents by Inventor Naga Raghavendra Surya Vara Prasad Koppisetti

Naga Raghavendra Surya Vara Prasad Koppisetti 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).

  • Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning
    Patent number: 11743277
    Abstract: The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.
    Type: Grant
    Filed: May 26, 2022
    Date of Patent: August 29, 2023
    Inventors: Naga Raghavendra Surya Vara Prasad Koppisetti, Kevin Bradley D'Souza, Hamidreza Boostanimehr, Shankhanaad Mallick
  • Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning
    Publication number: 20220311788
    Abstract: The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.
    Type: Application
    Filed: May 26, 2022
    Publication date: September 29, 2022
    Applicant: Skycope Technologies, Inc.
    Inventors: Naga Raghavendra Surya Vara Prasad Koppisetti, Kevin Bradley D'Souza, Hamidreza Boostanimehr, Shankhanaad Mallick
  • Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning
    Patent number: 11374947
    Abstract: The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: June 28, 2022
    Inventors: Naga Raghavendra Surya Vara Prasad Koppisetti, Kevin Bradley D'Souza, Hamidreza Boostanimehr, Shankhanaad Mallick
  • Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning
    Publication number: 20200252412
    Abstract: The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.
    Type: Application
    Filed: September 11, 2019
    Publication date: August 6, 2020
    Applicant: Skycope Technologies, Inc.
    Inventors: Naga Raghavendra Surya Vara Prasad Koppisetti, Kevin Bradley D'Souza, Hamidreza Boostanimehr, Shankhanaad Mallick