Abstract
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.
Highlights
Smart Cities, known as Cities 2.0, are embodiments of urban living in the digital age [1]
We performed a survey on Internet of Things (IoT)-enabled Smart Campus Surveillance Systems available in the literature
We focused on Smart Campus as a socially acceptable solution, since advanced universities are open to change management as well as to experiment intuitively with unknown safety situations
Summary
Smart Cities, known as Cities 2.0, are embodiments of urban living in the digital age [1]. The present article is motivated by the lack of research that seeks to characterize the state-of-the-art on Smart Campus surveillance. Against this backdrop, the article surveys IoT-based surveillance systems in Smart Campuses, as these environments, similar to Smart Cities, have some unique requirements that call for additional security and privacy measures. Provide a comparative assessment and classification based on the proposed weighted scoring system, with valuable findings to be used for future surveillance systems specific to Smart Campuses.
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