# Plugin Quick Start

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:

* **Nx AI Manager:** The full package: Plugin, Runtime, and Cloud together.
* **Nx 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.
* **Nx 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.
* **Nx 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 Nx 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 Nx AI Manager.

<figure><img src="/files/wLaSrl5GGUk66jXotyAk" alt="Nx AI Manager Plugin component diagram showing Nx AI Runtime managing the AI
     Accelerator and AI/ML Model"><figcaption><p>The Nx AI Manager Plugin: the Runtime manages the AI Accelerator and the AI/ML Model running inside the Nx platform.</p></figcaption></figure>

***

## Step 1: Check system requirements

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

{% content-ref url="/pages/qDZwbJbgQKfjDu2FwxZ3" %}
[System requirements](/nx-ai-manager-v6.1.2/nx-ai-manager-plugin/quick-start/system-requirements.md)
{% endcontent-ref %}

***

## Step 2: Install Network Optix

Install the Nx Meta, Nx Witness, or Nx Go server and client on your machine.

<figure><img src="/files/1Nhx3R06fnEjdMNGAwnc" alt="Log in to Nx Developer Cloud dialog showing email input field in the Desktop
     Client"><figcaption><p>The Nx Meta desktop client: log in after installing to confirm the server is running.</p></figcaption></figure>

{% content-ref url="/pages/ZuSvvX87sZbTNZmX2lFG" %}
[Install Network Optix](/nx-ai-manager-v6.1.2/nx-ai-manager-plugin/install-network-optix.md)
{% endcontent-ref %}

***

## Step 3: Enable the Nx AI Manager plugin

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

<figure><img src="/files/ZBSsUpSUhXW2y9grPzdN" alt="Camera Settings dialog with the Integrations tab selected, showing Nx AI
     Manager listed in the plugin list"><figcaption><p>Camera Settings Integrations tab: the Nx AI Manager plugin appears here once installed.</p></figcaption></figure>

{% content-ref url="/pages/iFRdkGmk2C4WNa5SV9PF" %}
[Starting the plugin](/nx-ai-manager-v6.1.2/nx-ai-manager-plugin/install-plugin.md)
{% endcontent-ref %}

***

## Step 4: Configure a model pipeline

Open the Nx AI Manager panel for the camera and add a model to the pipeline.

<figure><img src="/files/H88XurRuU5AOv5qCJtNN" alt="Nx AI Manager pipeline panel showing People Detector model configured with
     sensitivity and postprocessor controls"><figcaption><p>The pipeline panel with a model assigned: adjust sensitivity and postprocessor settings here.</p></figcaption></figure>

{% content-ref url="/pages/6EEE07YOwLbczVzy2LX3" %}
[Configure the plugin](/nx-ai-manager-v6.1.2/nx-ai-manager-plugin/configure-the-plugin.md)
{% endcontent-ref %}

***

## 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.

<figure><img src="/files/kVspz7hKhZgu0mwuEyuP" alt="Nx Client interface with the Objects tab selected in the left panel"><figcaption><p>The Objects tab shows AI detections from the running model pipeline.</p></figcaption></figure>

{% content-ref url="/pages/6EEE07YOwLbczVzy2LX3#confirming-it-works" %}
[Configure the plugin](/nx-ai-manager-v6.1.2/nx-ai-manager-plugin/configure-the-plugin.md#confirming-it-works)
{% endcontent-ref %}

{% hint style="success" %}
If you see detections, you are done. To manage models at scale across many devices, continue to the [Nx AI Cloud](/nx-ai-manager-v6.1.2/nx-ai-cloud-ui/introduction.md) section.
{% endhint %}

{% hint style="info" %}
If nothing appears, go to [Troubleshooting](/nx-ai-manager-v6.1.2/support-and-troubleshooting/troubleshooting.md).
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://nx.docs.scailable.net/nx-ai-manager-v6.1.2/nx-ai-manager-plugin/quick-start.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.