Adaptive Spatial Augmented Reality for Industrial Site Assembly
Patrick Rupprecht, Hans Kueffner-Mccauley, Majesa Trimmel, Sebastian Schlund
Abstract
Today, industrial assembly of large components is mostly organized as site assembly. The human-centered information provisioning for assembly tasks still bears significant optimization potential. The paper presents first results of the integration of a dynamic projection system with visual human position and gesture recognition. Work instructions and other relevant information is displayed relative to the humans’ position within a large workspace. A high-resolution RGB-camera as well as the real-time object recognition algorithm YOLOv3, have been integrated into a proof-of-concept demonstrator. An evaluation at the TU Wien Pilot Factory shows the potential in terms of efficiency, usability, and cognitive workload.