Plugin Quick Start
Get the AI Manager running on your first device in five steps.
This page guides you through the complete setup from zero to your first AI detection. Each step links to the detailed documentation; come back here if you lose your place.
Key terms
The following terms appear throughout these docs:
AI Manager: The full package: Plugin, Runtime, and Cloud together.
AI Manager Plugin: The plugin that runs on an edge device inside Nx Meta (or any Powered-By-Nx product). It lets you configure the AI pipeline for each device.
AI Runtime: The library component that runs AI models on AI accelerators. The Plugin controls the Runtime; the Runtime manages the accelerator and the downloaded model files.
AI Cloud: The web platform for managing devices and models and building your personal model catalogue.
EVOS: Network Optix's Enterprise Video Operating System. Nx Meta, Nx Witness, and Nx Go are all EVOS products.
Nx Meta: The EVOS product most commonly used with the AI Manager. It consists of one or more server installations and a client. Nx Witness and Nx Go work the same way.
AI/ML model: Any definition that transforms input (a stream of images) into output such as bounding boxes, a license plate string, or an OK/NG classification.
Edge device: Any device (camera, gateway, IPC, etc.) running the AI Manager.

Step 1: Check system requirements
Before installing anything, confirm your hardware and OS are supported.
System requirementsStep 2: Install Network Optix
Install the Nx Meta, Nx Witness, or Nx Go server and client on your machine.

Step 3: Enable the AI Manager plugin
Open the Nx Client, right-click a camera, go to Camera Settings → Integrations, and enable the AI Manager toggle.

Step 4: Configure a model pipeline
Open the AI Manager panel for the camera and add a model to the pipeline.

Step 5: Confirm it works
Switch to the Objects tab in the Nx Client. You should see bounding boxes or other model output on the camera feed within a few seconds.

If you see detections, you are done. To manage models at scale across many devices, continue to the AI Cloud section.