Samsung Network in a Server: 5G AI Edge Computing for Real-Time Video Analytics

Added: 2026-05-17

[00:00:00]Samsung network in a server, equipped with a GPU, supports AI-based visual analytics through edge computing.

[00:00:08]The NIS server contains all network components into a single hardware unit.

[00:00:17]>> [music] >> Functioning as an AI edge with an embedded GPU for AI-based video analytics, devices such as [music] CCTV cameras or XR devices stream video over 5G [music] to the AI edge, where the system conducts real-time analytics and triggers instant alerts.

[00:00:36]The first [music] applicable scenario is fire detection.

[00:00:40]Live video from CCTV is streamed [music] and analyzed in real time, detecting smoke and fire early and triggering [music] an immediate alarm.

[00:00:50]The second scenario involves safety helmet checks.

[00:00:54]XR device [music] captures the scene in real time.

[00:00:58]An AI identifies workers not wearing safety helmets.

[00:01:02]The third scenario [music] addresses unattended item detection.

[00:01:07]CCTV monitors [music] the environment, and the solution detects left-behind objects, promptly triggering an alert for a swift response.