This documentation is for the upcoming version of the AI Manager
Read the documentation for the current version
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AI ManagerNx Meta
For the complete documentation index, see llms.txt. This page is also available as Markdown.

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. 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 Manager Cloud: The web platform for managing devices and models and building your personal model catalogue.

  • 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.

AI Manager Plugin component diagram showing AI Runtime managing the AI Accelerator and AI/ML Model
The AI Manager Plugin: the Runtime manages the AI Accelerator and the AI/ML Model running inside the Nx platform.

Step 1: Check System Requirements

Before installing anything, confirm your hardware and OS are supported.

System requirements

Step 2: Install Nx Meta

Install the Nx Meta server and client on your machine.

The AI Manager Cloud admin interface login screen
The AI Manager Cloud admin interface - log in with your Nx account to continue
Install Server and Client

Step 3: Enable the AI Manager Plugin

Open the desktop client, right-click a camera, go to Camera Settings → Integrations, and enable the AI Manager toggle.

Camera Settings dialog with the Integrations tab selected, showing AI Manager listed in the plugin list
Camera Settings Integrations tab: the AI Manager plugin appears here once installed.
Starting the plugin

Step 4: Configure a Model Pipeline

Open the AI Manager panel for the camera select a pipeline, enable the camera if it is not enabled already and click "Apply" to save the settings.

AI Manager pipeline panel showing People and Vehicles Detection model configured with sensitivity and postprocessor controls
The pipeline panel with a model assigned: adjust sensitivity and postprocessor settings here.
Configure the plugin

Step 5: Confirm It Works

Switch to the Objects tab in the desktop client. Bounding boxes or other model output appear on the camera feed within a few seconds.

Live View with four people detected and labeled, and the Objects panel listing each detection with a thumbnail and timestamp
The Objects tab shows AI detections from the running model pipeline.
Confirming It Works

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

If nothing appears, go to Troubleshooting.

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