Patents by Inventor Michael John Klopfer

Michael John Klopfer 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).

  • Non-intrusive workflow assessment (NIWA) for manufacturing optimization
    Patent number: 11526827
    Abstract: Non-intrusive monitoring and workflow assessment to optimize manufacturing environments are described herein. The systems and method combines computer vision and energy load disaggregation to track worker activity and equipment usage and status. These events are then correlated to optimize workflows and energy efficiency.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: December 13, 2022
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Guann-Pyng Li, Michael John Klopfer, Sergio Gago-Masague, Richard P. Donovan, Yutian Ren
  • FORCE AND LOAD SENSOR AND MONITORING DEVICE FOR DEFINING INJURY DURING URETERAL ACCESS SHEATH DEPLOYMENT
    Publication number: 20220126066
    Abstract: Various embodiments herein comprise a handheld load sensing device. In one embodiment, the device comprises a force sensor (e.g., a mechanical spring or an electromechanical load cell) adapted to receive a force, an input/output interface, and an adjustable attachment mechanism adapted to reversibly attach a surgical device. In another embodiment, the force sensor detects the amount of force applied during the deployment of the surgical device in a patient and outputs a force value representative thereof via the input/output interface. Also provided herein are methods of making and using load sensing devices.
    Type: Application
    Filed: January 7, 2022
    Publication date: April 28, 2022
    Inventors: Ralph V. Clayman, Kamaljot S. Kaler, Jamie Landman, Michael John Klopfer, Guann-Pyng Li
  • NON-INTRUSIVE WORKFLOW ASSESSMENT (NIWA) FOR MANUFACTURING OPTIMIZATION
    Publication number: 20200104779
    Abstract: Non-intrusive monitoring and workflow assessment to optimize manufacturing environments are described herein. The systems and method combines computer vision and energy load disaggregation to track worker activity and equipment usage and status. These events are then correlated to optimize workflows and energy efficiency.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 2, 2020
    Inventors: Guann-Pyng Li, Michael John Klopfer, Sergio Gago-Masague, Richard P. Donovan, Yutian Ren