Towards smart home automation based on containerization

被引：0
|
作者：
Mounira Tarhouni [1 ]
Ibrahim Aloui [2 ]
机构：
[1] University of Gabes, Faculty of Sciences of Gabes, Hatem Bettahar IReSCoMath Research Lab, LR20ES11, Gabes
[2] Higher Institute of Computer Science and Multimedia Gabes (ISIMG), University of Gabes, Gabes
来源：
Cluster Computing | 2025年 / 28卷 / 5期
关键词：
AI; Containerization; Docker; Face recognition; IoT; Voice recognition;
D O I：
10.1007/s10586-025-05147-w
中图分类号：
学科分类号：
摘要：
This paper presents an advanced smart home automation system optimized for managing IoT devices and sensors through container-based architecture. The system is deployed on a Raspberry Pi using Docker and Docker Compose, which enhance operational efficiency, scalability and interoperability with other smart home systems. A Dockerized Django backend is employed for robust data processing and user authentication. Furthermore, AI-powered programs integrated within the system enable advanced functionalities. A Flutter-based mobile application provides a user interface that includes features like facial recognition for login, comprehensive weather control, voice command integration, and enhanced smart surveillance. The containerized approach ensures improved system performance and scalability, making this solution highly suitable for modern home automation applications. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
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