Treffer: OPTIMIZATION OF A CAMPUS WIDE HETEROGENOUS REALTIME SMART SURVEILLANCE NETWORK FOR INTRUDER MITIGATION.

This article presents the optimization of a campus-wide, heterogeneous, real-time smart surveillance network aimed at enhancing security and mitigating intrusions on a metropolitan like university campus. Existing surveillance systems lacked adaptability and interoperability, leading to security lapses such as theft and property damage. A comprehensive smart system was designed following detailed security profiling, which identified four high-risk zones with distinct challenges. A Python-based data communication algorithm and a protocol suite were developed to ensure effective monitoring and seamless interoperability among remote subsystems. The research employed various methodologies, including object-oriented programming and simulation using Cisco Packet Tracer, following the OSI model and utilizing protocols like Transmission Control Protocol and File Transfer Protocol. The results showed successful communication across all network nodes, demonstrating a more adaptive and efficient surveillance system capable of real-time threat detection and response. Based on this integrated system, a more adaptive surveillance system is achieved. [ABSTRACT FROM AUTHOR]

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