Integrating AI, Resiliency, and Connectivity: The Next Step in Semi-Automated Monitoring
Semi-automated monitoring is entering a new phase as intelligent automation, environmental resilience, and integrated connectivity become embedded in robotic total stations. Drawing on research into edge-AI target recognition, automated prism configuration checks, robust operation in challenging conditions, and direct cloud data transfer, this presentation explores how these advances address practical challenges in periodic deformation monitoring. More reliable target search and measurement, proactive validation, and connected data delivery enable longer measurement sequences with less intervention while preserving surveyor oversight and geodetic expertise. These capabilities allow familiar surveying equipment to support more demanding monitoring applications, increase measurement frequency and coverage, and complement continuously automated systems. The presentation highlights the potential for more efficient, reliable, and scalable semi-automated monitoring across construction, infrastructure, and natural-hazard applications.
Moderation
Tags
KI // AI
Language
Englisch // English
Translation Available
Translation Available