International Conference on Ubiquitous and Future Networks (ICUFN) 2026, pp.1-6
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
With the advancement of edge AI devices, software-
defined cameras (SDCs) have been widely adopted in real-
time monitoring and safety-related applications. However, as
the number of SDCs deployed in the field increases, efficiently
maintaining and managing devices, service applications, and AI
models has become an important operational challenge. In this
paper, we propose an integrated control and management system
that supports remote device monitoring, service application
management, and AI model management for SDCs. The proposed
system consists of SDCs deployed in the field and an integrated
control server that manages device status, service applications,
and AI models through over-the-air (OTA) updates. In addition,
the system provides WebSocket-based bidirectional communica-
tion, enabling real-time collection of SDC status information and
the delivery of remote control commands. Administrators can
monitor device status and control SDC operations through a web-
based graphical user interface. Furthermore, we design a layered
security procedure that combines device registration, JWT-based
WebSocket authentication, and HMAC-based message integrity
verification. The proposed system was implemented using an
NVIDIA Jetson Orin Nano-based SDC and a web-based inte-
grated control server. The implementation results demonstrate
that the proposed system can serve as a practical management
framework for remotely operating multiple SDCs while flexibly
updating AI service applications and models.
Keyword
Software-defined Camera, Over-the-Air, Soft- ware Update, Management System
KSP Keywords
Device monitoring, Management system, Over-the-air(OTA), Remote Control, Remote device, Safety-related applications, Software-Defined, Status information, User interface(UI), control and management, graphical user interface(GUI)
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