Patents by Inventor Michael LAWVER

Michael LAWVER 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: 10360541
    Abstract: A banking system that utilizes metrics in acquiring and processing event data related to financial transaction activity at a plurality of automated banking machines. Automated banking machine include sensors able to detect event data during a transaction. The event data can include transaction data related to the type of transaction, time analysis data related to duration of the transaction, and operational data related to machine components used in carrying out the transaction. The event data for automated banking machines can be obtained, analyzed, and stored. Statistical averages associated with the banking system machines can be determined in real time. The averages allow a respective machine to be compared to other machines with respect to operational efficiency. An alert can be issued concerning a statistical anomaly regarding the respective machine.
    Type: Grant
    Filed: July 2, 2018
    Date of Patent: July 23, 2019
    Assignee: Diebold Nixdorf Incorporated
    Inventors: Neil C. Gromley, Dustin Cairns, Rodney J. Reese, B. Scott Harroff, Michael Lawver
  • Publication number: 20180374067
    Abstract: A banking system that utilizes metrics in acquiring and processing event data related to financial transaction activity at a plurality of automated banking machines. Automated banking machine include sensors able to detect event data during a transaction. The event data can include transaction data related to the type of transaction, time analysis data related to duration of the transaction, and operational data related to machine components used in carrying out the transaction. The event data for automated banking machines can be obtained, analyzed, and stored. Statistical averages associated with the banking system machines can be determined in real time. The averages allow a respective machine to be compared to other machines with respect to operational efficiency. An alert can be issued concerning a statistical anomaly regarding the respective machine.
    Type: Application
    Filed: July 2, 2018
    Publication date: December 27, 2018
    Inventors: Neil C. GROMLEY, Dustin CAIRNS, Rodney J. Reese, B. Scott HARROFF, Michael LAWVER