Streamline Intelligent Crowd Monitoring with IoT Cloud Computing Middleware

• Published in: arXiv.org
• Main Authors: Gazis, Alexandros, Katsiri, Eleftheria
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 04.06.2024
• Subjects: Algorithms; Art exhibits; Cloud computing; Computer Science - Distributed, Parallel, and Cluster Computing; Cost analysis; Crowd monitoring; Data analysis; Effectiveness; Exhibitions; Fault tolerance; Hardware; Historical buildings; Middleware; Minicomputers; Museums; Power management; Prototyping; Tracking; Wireless sensor networks

This article introduces a novel middleware that utilizes cost-effective, low-power computing devices like Raspberry Pi to analyze data from wireless sensor networks (WSNs). It is designed for indoor settings like historical buildings and museums, tracking visitors and identifying points of interest....