Patents by Inventor Sandhya ReddyVeera

Sandhya ReddyVeera 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).

  • Patent number: 10878520
    Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: December 29, 2020
    Assignee: International Business Machines Corporation
    Inventors: Timothy T. Bohn, Natalie N. Brooks Powell, Gary W. Crupi, Ho-Yiu Lam, David C. Martin, Sandhya ReddyVeera
  • Publication number: 20190266680
    Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.
    Type: Application
    Filed: May 10, 2019
    Publication date: August 29, 2019
    Inventors: Timothy T. Bohn, Natalie N. Brooks Powell, Gary W. Crupi, Ho-Yiu Lam, David C. Martin, Sandhya ReddyVeera
  • Patent number: 10339614
    Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.
    Type: Grant
    Filed: September 25, 2018
    Date of Patent: July 2, 2019
    Assignee: International Business Machines Corporation
    Inventors: Timothy T. Bohn, Natalie N. Brooks Powell, Gary W. Crupi, Ho-Yiu Lam, David C. Martin, Sandhya ReddyVeera
  • Publication number: 20190026844
    Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.
    Type: Application
    Filed: September 25, 2018
    Publication date: January 24, 2019
    Inventors: Timothy T. Bohn, Natalie N. Brooks Powell, Gary W. Crupi, Ho-Yiu Lam, David C. Martin, Sandhya ReddyVeera
  • Patent number: 10121211
    Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.
    Type: Grant
    Filed: February 15, 2017
    Date of Patent: November 6, 2018
    Assignee: International Business Machines Corporation
    Inventors: Timothy T. Bohn, Natalie N. Brooks Powell, Gary W. Crupi, Ho-Yiu Lam, David C. Martin, Sandhya ReddyVeera
  • Publication number: 20180232822
    Abstract: Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.
    Type: Application
    Filed: February 15, 2017
    Publication date: August 16, 2018
    Inventors: Timothy T. Bohn, Natalie N. Brooks Powell, Gary W. Crupi, Ho-Yiu Lam, David C. Martin, Sandhya ReddyVeera