Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey

• Main Authors: Theodoros Anagnostopoulos, Panos Kostakos, Arkady Zaslavsky, Ioanna Kantzavelou, Nikos Tsotsolas, Ioannis Salmon, Jeremy Morley, Robert Harle
• Format: Article
• Language: English
• Published: IEEE 2021-01-01
• Series: IEEE Access
• Subjects: Smart Campus; surveillance systems; IoT; software analytics; security; research methodology
• Online Access: https://ieeexplore.ieee.org/document/9543662/

A Smart Campus is a miniature of a Smart City with a more demanding framework that enables learning, social interaction and creativity. To ensure a Smart Campus uninterruptible secure operation, a key requirement is that daily routines and activities are performed protected in an environment monitored unobtrusively by a robust surveillance system. The various components that compose such an environment, buildings, labs, public spaces, smart lighting, smart parking, or even smart traffic lights, require us to focus on surveillance systems, and recognize which detection activities to establish. In this paper, we perform a comparative assessment in the area of surveillance systems for Smart Campuses. A proposed taxonomy for IoT-enabled Smart Campus unfold five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology. By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, we first present the state-of-the-art, and then we make a comparative assessment and classify the systems. We extract valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by surveillance systems for Smart Campus.