Patents by Inventor Partool Bharti

Partool Bharti 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).

  • Leveraging smart-phone cameras and image processing techniques to classify mosquito genus and species
    Patent number: 10963742
    Abstract: Identifying insect species integrates image processing, feature selection, unsupervised clustering, and a support vector machine (SVM) learning algorithm for classification. Results with a total of 101 mosquito specimens spread across nine different vector carrying species demonstrate high accuracy in species identification. When implemented as a smart-phone application, the latency and energy consumption were minimal. The currently manual process of species identification and recording can be sped up, while also minimizing the ensuing cognitive workload of personnel. Citizens at large can use the system in their own homes for self-awareness and share insect identification data with public health agencies.
    Type: Grant
    Filed: November 4, 2019
    Date of Patent: March 30, 2021
    Assignee: University of South Florida
    Inventors: Sriram Chellappan, Partool Bharti, Mona Minakshi, Willie McClinton, Jamshidbek Mirzakhalov
  • LEVERAGING SMART-PHONE CAMERAS AND IMAGE PROCESSING TECHNIQUES TO CLASSIFY MOSQUITO GENUS AND SPECIES
    Publication number: 20200143202
    Abstract: Identifying insect species integrates image processing, feature selection, unsupervised clustering, and a support vector machine (SVM) learning algorithm for classification. Results with a total of 101 mosquito specimens spread across nine different vector carrying species demonstrate high accuracy in species identification. When implemented as a smart-phone application, the latency and energy consumption were minimal. The currently manual process of species identification and recording can be sped up, while also minimizing the ensuing cognitive workload of personnel. Citizens at large can use the system in their own homes for self-awareness and share insect identification data with public health agencies.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 7, 2020
    Applicant: University of South Florida
    Inventors: Sriram Chellappan, Partool Bharti, Mona Minakshi, Willie McClinton, Jamshidbek Mirzakhalov