Metropolitan Intelligent Surveillance Systems for Urban Areas by Harnessing IoT and Edge Computing Paradigms

Funding information Recent technological advances led to the rapid and uncontrolled proliferation of Intelligent Surveillance Systems (ISS), serving to supervise urban areas. Driven by pressing public safety and security requirements, modern cities are transformed into tangled cyber-physical environments, consisting of numerous heterogeneous ISS under different administrative domains with low or no capabilities for reuse and interaction. This isolated pattern renders itself unsustainable in city-wide scenarios that typically require to aggregate, manage, and process multiple video streams continuously generated by distributed ISS sources. A coordinated approach is therefore required to enable an interoperable ISS formetropolitan areas, facilitating technological sustainability to prevent network bandwidth saturation. Tomeet these requirements, this paper combines several approaches and technologies – namely the Internet of Things, Cloud Computing, Edge Computing and Big Data – into a common framework to enable a unified approach to implementing ISS at an urban scale, thus paving theway for theMetropolitan Intelligent Surveillance System (MISS). The proposed solution aims to push datamanagement and