Vision systems are being increasingly used in the digitalization process of industrial and manufacturing plants. Among them, marker-less Motion Capture (MOCAP) technology represent a valuable tool since it frees human operators from uncomfortable equipment on their body, allowing them to perform their activities as normal. We are currently implementing this technology at the Industrial Plants and Logistics Laboratory of the University of Padua, by applying a set of Intel Realsense depth cameras to a manual workstation and by linking them with a skeleton tracking software. The aim is to create a closed control loop that can monitor the activities performed by a human operator, offering real-time feedback. In this work we present a framework that describes the functioning of the closed loop and we present an example of its laboratory implmentation.
A Framework for a Closed Loop Control System of a Human Operator in a Manual Workstation
Faccio M.;Guidolin M.;Maretto L.;Reggiani M.
2022
Abstract
Vision systems are being increasingly used in the digitalization process of industrial and manufacturing plants. Among them, marker-less Motion Capture (MOCAP) technology represent a valuable tool since it frees human operators from uncomfortable equipment on their body, allowing them to perform their activities as normal. We are currently implementing this technology at the Industrial Plants and Logistics Laboratory of the University of Padua, by applying a set of Intel Realsense depth cameras to a manual workstation and by linking them with a skeleton tracking software. The aim is to create a closed control loop that can monitor the activities performed by a human operator, offering real-time feedback. In this work we present a framework that describes the functioning of the closed loop and we present an example of its laboratory implmentation.
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