소프트웨어 정의 카메라(Software-defined Camera)를 위한 엣지AI단말 관리 시스템 개발

초록

With the recent advancements in artificial intelligence(AI) technology and the development of edge AI devices capable of processing AI workloads, software-defined cameras(SDCs) have been widely utilized in various video analysis services. However, as the number of deployed SDCs continues to grow, the complexity and cost of managing not only the cameras themselves but also their core components-edge AI devices-have emerged as significant challenges. To address these issues, this paper proposes and implements an Over-the-AIr(OTA)-based edge AI device management system designed to improve the operational efficiency of edge AI devices and enhance the performance of the services they provide. The proposed system supports remote updates and management of AI models and service applications, enabling efficient mAIntenance without requiring physical access to the devices. Furthermore, it periodically collects device status information to support real-time monitoring of operational conditions and provides all management features through an integrated, user-friendly Web-based graphical user interface(GUI). The system was implemented using Nvidia Jetson Orin Nano-based edge AI devices and a desktop-based integrated control server. Functional verification through practical deployment confirmed the successful operation of all designed components.

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