Patents by Inventor Gandam Seema MOSES

Gandam Seema MOSES 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: 11823427
    Abstract: An automatic artwork review system validates an artwork or a product label based on a received label specification document. Text extracted from the product label is chunked into sentences and words. Character-wise comparison is executed to identify the best match text from the label specification document for the sentence chunks from the product label. If the corresponding best match texts bears a similarity higher than a predetermined threshold to selected text including one or more sentence chunks, no errors are raised. If the similarity of the best match text to the selected text is not higher than the predetermined threshold, the specific errors occurring in the selected text and the particular portions where such errors are present are identified. The information regarding the errors can be output via one or more of an output user interface or a label compliance report.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: November 21, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Shobhit Shrotriya, Rajneesh Soni, Sanjib Ghosh, Vinod Kumar, Gandam Seema Moses, Deepak Kumar Arjun, Partha Sarathy Paramanik
  • Publication number: 20220414389
    Abstract: An automatic artwork review system validates an artwork or a product label based on a received label specification document. Text extracted from the product label is chunked into sentences and words. Character-wise comparison is executed to identify the best match text from the label specification document for the sentence chunks from the product label. If the corresponding best match texts bears a similarity higher than a predetermined threshold to selected text including one or more sentence chunks, no errors are raised. If the similarity of the best match text to the selected text is not higher than the predetermined threshold, the specific errors occurring in the selected text and the particular portions where such errors are present are identified. The information regarding the errors can be output via one or more of an output user interface or a label compliance report.
    Type: Application
    Filed: June 24, 2021
    Publication date: December 29, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Shobhit SHROTRIYA, Rajneesh SONI, Sanjib GHOSH, Vinod KUMAR, Gandam Seema MOSES, Deepak Kumar ARJUN, Partha Sarathy PARAMANIK