Development of an Edge-Computing-Based Intelligent Service Framework for Smart Camera Applications

Development of an Edge-Computing-Based Intelligent Service Framework for Smart Camera Applications

연구 분야: Software Development

학회: International Symposium on Information and Communication Technology

Advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and wireless networks have fueled the growth of Artificial Intelligence of Things (AIoT) applications at the edge, addressing challenges such as power consumption, bandwidth constraints, and response latency. Our previous studies enhanced the management of edge AIoT applications, particularly for smart cameras. However, developing these systems remains challenging due to the lack of a unified platform, resulting in high complexity, inconsistency, and increased costs driven by limited code reuse and fragmented development processes. To address these challenges, this paper introduces an edge-computing-based intelligent service framework for smart camera applications. The framework provides a unified platform that enhances consistency, facilitates code reuse, and reduces costs and deployment time. It employs a microservices architecture deployed on a virtualization platform with container orchestration at the edge, allowing customization to meet specific application needs. The system also supports extended services, including cluster management, system monitoring, and DevOps practices for secure continuous integration and continuous deployment (CI/CD). This approach improves flexibility and efficiency in the development, deployment, management, and monitoring of smart camera applications at the edge. Experimental use cases, including face mask recognition and helmet detection applications, validate the proposed system’s effectiveness.