Integrated Scenario for Machine-Aided Inventory Using Ambient Sensors

We present a novel complete system for machine-aided inventory. Our system covers automatic product identification using RFID, localization based on ambient sensors, the enrichment of raw RFID data with product information from ERP (Enterprise Resource Planning) backend systems and real-time augmented reality (AR) visualization. We have integrated all of these components into a real-world demonstrator resembling a supermarket and successfully presented the system in the scope of an industry workshop.