Evaluating the Performance of an IoT-Based Smart Video Surveillance System in a Nigerian Polytechnic: A Case Study of Kwara State Polytechnic, Ilorin

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-12
DOI
https://doi.org/10.5281/zenodo.22728840
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
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article

Evaluating the Performance of an IoT-Based Smart Video Surveillance System in a Nigerian Polytechnic: A Case Study of Kwara State Polytechnic, Ilorin

Olatunji Ahmed Lawal, A. O. Adebayo, M. Z. Oba, Ahmed Kazeem
Zenodo (CERN European Organization for Nuclear Research)
IoT Networks and Protocols
article

Evaluating the Performance of an IoT-Based Smart Video Surveillance System in a Nigerian Polytechnic: A Case Study of Kwara State Polytechnic, Ilorin

Olatunji Ahmed Lawal, A. O. Adebayo, M. Z. Oba, Ahmed Kazeem
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
IoT Networks and Protocols
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Evaluating the Performance of an IoT-Based Smart Video Surveillance System in a Nigerian Polytechnic: A Case Study of Kwara State Polytechnic, Ilorin — Olatunji Ahmed Lawal, A. O. Adebayo, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS