A flexible context-aware assistance system for industrial applications using camera based localization
Jahanzaib Imtiaz, Nils A. Koch, Holger Flatt, Jürgen Jasperneite, Michael Voit, Florian van de Camp · 2014
Within a manufacturing system, a smart human-machine interface reduces the chances of human error and helps users to make informed decisions, especially in critical situations. This paper presents a concept for a flexible context specific assistance system for industrial applications using camera based localization. As a central element, a modular and service oriented context aware system aggregates relevant data from different sources. An object recognition service applies image analysis techniques on a video stream, captured from a top mounted multi-camera system to detect a person's location and associate it with a mobile device. A semantically enriched OPC UA server provides access to process data, and a web-service provides connection to a user interface hosted on a tablet PC. A case study provides an application of the proposed solution for the maintenance support and indoor navigation is implemented as a proof of concept.