Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection

Nicholas Schloer, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Fabian Schoch, Nicolaj C. Stache, Carsten Wittenberg

Abstract: This abstract explores the integration of holographic surfaces into industrial human-machine interfaces (HMIs) to optimize anomaly detection processes. By utilizing this cutting-edge technology, industrial environments can achieve more efficient and effective anomaly detection, ultimately leading to increased safety, productivity, and operational integrity. Holographic user interfaces provide a novel approach by visualizing complex data in an immersive, intuitive, and interactive way. By projecting three-dimensional representations of equipment, processes, and real-time data onto user interfaces, operators can quickly recognize anomalies and deviations from normal operating conditions. The holographic interfaces provide contextual awareness, improving operators’ understanding of the industrial environment and enabling them to make informed decisions with confidence. Holographic interfaces have the potential to revolutionize anomaly detection in industrial HMIs, resulting in improved efficiency and safety in industrial operations.

External IDs:dblp:conf/hci/SchloerBHLOSSW24