A Scalable IoT Framework for Real-Time Video Analytics: A Smart Campus Case Study

The UFC Smart Campus project applies IoT and computer vision technologies to enhance campus security through an advanced multi-layered image processing system. Using computer vision and parallel computing, the research develops innovative applications for license plate recognition and bus stop monitoring, achieving high accuracy rates. The system demonstrates a scalable approach to intelligent campus infrastructure, processing multiple camera streams simultaneously and highlighting the potential of cutting-edge AI technologies in academic environments.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/lciot64881.2025.11118468
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

A Scalable IoT Framework for Real-Time Video Analytics: A Smart Campus Case Study

Paulo Soares, Lino O. Santos, Emanuel B. Rodrigues, Paulo A. L. Rêgo et al.
1 links
IoT and Edge/Fog Computing
article

A Scalable IoT Framework for Real-Time Video Analytics: A Smart Campus Case Study

Paulo Soares, Lino O. Santos, Emanuel B. Rodrigues, Paulo A. L. Rêgo, L Rego, Kauã Ribeiro de Sousa
article en

Abstract

The UFC Smart Campus project applies IoT and computer vision technologies to enhance campus security through an advanced multi-layered image processing system. Using computer vision and parallel computing, the research develops innovative applications for license plate recognition and bus stop monitoring, achieving high accuracy rates. The system demonstrates a scalable approach to intelligent campus infrastructure, processing multiple camera streams simultaneously and highlighting the potential of cutting-edge AI technologies in academic environments.

Universidade Federal do Ceará (BR)
Openalex Percentile: Top 76%
IoT and Edge/Fog Computing
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