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Field evaluation demonstrates high motion detection accuracy and low alert latency in a polytechnic campus, indicating the viability of low-cost smart surveillance.
The proliferation of IoT-enabled surveillance systems presents new opportunities for enhanced campus security in Sub-Saharan Africa, where power reliability and network infrastructure constraints have historically limited effective deployment. This paper reports a structured performance evaluation of the V380 Pro IoT smart camera surveillance system deployed at the Institute of Technology (IoT) Directorate Building, Kwara State Polytechnic, Ilorin, Nigeria. Evaluation was conducted across four key metrics: motion detection accuracy, alert notification latency, system reliability and uptime, and user application experience. Using a structured scenario-based test methodology, the system achieved a motion detection accuracy of 94.3%, an average alert notification latency of 2.8 seconds over a 4G LTE network, and a system uptime of 97.6% over the 30-day evaluation period. The V380 Pro mobile application provided effective remote access for live viewing, event playback, and device management. A comparative analysis against the institution's legacy CCTV infrastructure revealed significant improvements in detection capability, operational coverage flexibility, and power resilience. These findings confirm that low-cost solar-powered IoT surveillance solutions are technically viable for Nigerian higher educational institutions and provide a replicable performance benchmark for similar deployments across the sub-region.
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Lawal et al. (2026) studied this question.
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