Patents by Inventor Sai Geetha Kandepalli Cherukuru

Sai Geetha Kandepalli Cherukuru 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: 10834286
    Abstract: A system and method for determining where to send a document from information printed on the document includes a scanner configured to scan a document, and a processor configured to use optical character recognition on the scanned document to determine recipient contact information. The processor generates a user-selectable list of one or more of the determined recipients and receives a user selection of one or more recipients to receive the document. The processor then transmits the document to the selected recipients using a modality suitable to the recipient's contact information, which includes faxing the document to the recipient when the recipient's contact information is a fax number, emailing the document to the recipient when the recipient's contact information is an email address, and transmitting the document when the recipient is a network file server.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: November 10, 2020
    Assignee: Toshiba TEC Kabushiki Kaisha
    Inventors: Brendon Wai, Kevin T. Nguyen, Sai Geetha Kandepalli Cherukuru
  • Patent number: 10609239
    Abstract: A multifunction peripheral includes a processor and a memory storing boundary data defining a boundary between allowable and prohibited document processing jobs. The processor receives a document processing job and analyzes it relative to boundary data stored in the memory. The processor selectively performs the document processing job in accordance with analysis of the received document processing job relative to the boundary data. The boundary data defines what is acceptable or unacceptable for a document processing operation. The boundary data is determined via machine learning applied to analysis of document content, document metadata, rules or policies.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: March 31, 2020
    Assignee: Toshiba TEC Kabushiki Kaisha
    Inventors: Sai Geetha Kandepalli Cherukuru, Hoang Bao