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.
Authors
- Paulo Soares (ORCID: https://orcid.org/0000-0001-9325-8139)
- Lino O. Santos
- Emanuel B. Rodrigues (ORCID: https://orcid.org/0000-0002-6613-9502)
- Paulo A. L. Rêgo (ORCID: https://orcid.org/0000-0002-0936-9301)
- L Rego
- Kauã Ribeiro de Sousa
Institutions
- Universidade Federal do Ceará (BR)
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
- 0.00