Patents by Inventor Sadaf Riyaz SAYYAD

Sadaf Riyaz SAYYAD 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).

  • INTELLIGENT DOCUMENT PROCESSING
    Publication number: 20240029175
    Abstract: Systems and methods that process, classify, and provide intelligent insights related to received documents such as notice documents in real-time. The system and methods leverage a novel framework of artificial intelligence and machine learning techniques to identify a requirement in the document (e.g., a government notice) and generate actionable suggestions thereto.
    Type: Application
    Filed: July 25, 2022
    Publication date: January 25, 2024
    Applicant: INTUIT INC.
    Inventors: Vignesh SUBRAHMANIAM, Sadaf Riyaz SAYYAD, Punam GOSWAMI, Arun SINGH, Chenbaga M K, Joseph JOICE, Sumit Kumar PODDAR, Anandagouda PATIL, Natarajan SWAMINATHAN, Arkadeep BANERJEE
  • Systems and methods for identifying potential shoplifting incidents
    Patent number: 10607267
    Abstract: Embodiments relate to systems and methods for identifying potential shoplifting incidents. In one embodiment, a system can receive and analyze information related to a number of items removed from a display and a number of items added to a shopping receptacle. These numbers of items can be detected by weight or load changes sensed by a sensor system, and if the counted numbers of items do not match, the system can flag nearby shopping receptacles via their unique identification numbers as potentially involved in shoplifting incidents.
    Type: Grant
    Filed: May 1, 2017
    Date of Patent: March 31, 2020
    Assignee: Wal-Mart Stores, Inc.
    Inventors: Anindya Sankar Dey, Sadaf Riyaz Sayyad
  • SYSTEMS AND METHODS FOR IDENTIFYING POTENTIAL SHOPLIFTING INCIDENTS
    Publication number: 20170323359
    Abstract: Embodiments relate to systems and methods for identifying potential shoplifting incidents. In one embodiment, a system can receive and analyze information related to a number of items removed from a display and a number of items added to a shopping receptacle. These numbers of items can be detected by weight or load changes sensed by a sensor system, and if the counted numbers of items do not match, the system can flag nearby shopping receptacles via their unique identification numbers as potentially involved in shoplifting incidents.
    Type: Application
    Filed: May 1, 2017
    Publication date: November 9, 2017
    Inventors: Anindya Sankar DEY, Sadaf Riyaz SAYYAD