ICE: A Low-Cost IoT Platform Targeting Real-Time Anonymous Visitors Flow Tracking at Museums

Museums are uniquely positioned to blend education and recreation in ways that can both challenge and catalyze communities. During the last years, IoT technology has revolute the way that museums enable visitors to engage with cultural institutions. Among others, sensor-based technology enables museums to provide visitor flow solutions that provide smart people tracking. Typically these systems rely to Bluetooth and WiFi beacons with accuracy around 1 meter. Throughout this paper, we introduce a low-cost IoT platform that relies on Ultra-WideBand technology to enable real-time accurate indoor positioning and navigation. Experimental results with different scenarios highlight the superiority of proposed platform, since the mean error between estimated and actual path can be up to 15cm, which in turn is sufficient to enable new services to museums of the future.