# AI-Vision Data Source

Source: https://help.zira.us/docs/data-sources/ai-vision-data-source
Summary: Create an AI-Vision data source, review the template fields, and pair it with a Zira AI-Vision device.
Updated: 2026-06-23

Use **AI-Vision** when you want a ready-made setup for counting, measuring, monitoring, or inspecting objects with a Zira AI-Vision device.

This type is helpful when you want to move quickly from setup to live device pairing without building the data source from scratch.

## Start from the Data Sources tab

Open the channel where you want to add the device, then open **Data Sources**.

You will see the list of existing data sources for that channel.

![Data Sources tab showing the list of existing data sources in the channel.](/docs/data-sources/channel-data-sources/01-data-sources-list.png)

Click **Add Data Source** in the top-right area to begin.

![Add Data Source button in the top-right area of the Data Sources tab.](/docs/data-sources/channel-data-sources/02-add-data-source-button.png)

## Choose AI-Vision in the create flow

1. Open a channel.
2. Click the **Data Sources** tab.
3. Click **Add Data Source**.
4. Choose **AI-Vision**.

![Add Data Source dialog showing AI-Vision as one of the available types.](/docs/data-sources/ai-vision-data-source/01-type-selection.png)

The AI-Vision card is the best choice when you want a fast setup based on a built-in vision template.

## Pick a template and name the data source

1. Review the available templates.
2. Select the template that matches your workflow.
3. Enter the data source name.
4. Click **Create data source**.

![AI-Vision setup showing the data source name field and available templates.](/docs/data-sources/ai-vision-data-source/02-template-selection.png)

Pick the template that feels closest to the workflow you want to track. You can still review and adjust the setup after the data source opens.

## Review the built-in fields

After the data source opens, Zira shows the fields that came with the selected AI-Vision template.

These fields usually give you a strong starting point for things like:

- counts or units
- status values
- shift or event tracking
- measurements such as length or width
- product or people-related entries

![AI-Vision data source editor showing the built-in fields and live form preview.](/docs/data-sources/ai-vision-data-source/03-fields-and-preview.png)

This screen is helpful because it lets you see both sides of the setup at once:

- the field structure on the left
- the live result on the right

Before pairing the device, take a moment to confirm that the fields match what you want operators or workflows to capture.

## Pair a Zira AI-Vision device

When you are ready to connect the device:

1. Open the data source row actions menu.
2. Choose **QR Pairing**.

![Data source row actions menu with QR Pairing and Code Pairing options.](/docs/data-sources/ai-vision-data-source/04-pairing-menu.png)

3. A QR code opens on the screen.
4. On the Zira AI-Vision device home screen, tap **Pair**.
5. Use the scanner on the device to capture the QR code shown in Zira.

![QR code screen for pairing the AI-Vision device.](/docs/data-sources/ai-vision-data-source/05-qr-code-screen.png)

If you prefer typing a code, use the **OTC** option on the device and choose **Code Pairing** in Zira instead.

Once the QR code is scanned successfully, the device is paired to the data source and ready to continue with the rest of your AI-Vision workflow.

## Continue with guided setup

After the data source exists, you can use **Home AI Assistant** to guide the rest of the workflow.

Ask:

- set up vision device
- what is next for this Vision data source?
- guide me through this device from scratch

The assistant checks the current status and suggests the next step. For a brand-new device, it guides:

1. pairing with QR or OTC
2. mounting confirmation
3. opening **Live View** to verify the camera view
4. opening **Remote Control**
5. recording or scheduling the first video

After videos exist, the assistant can continue the improvement loop:

1. sample frames into a dataset
2. annotate images
3. prepare train and validation splits
4. create a dataset version
5. run training
6. push the model to the device
7. collect validation sessions
8. review the results and move useful examples back into the dataset

## Read next

- [Create a Data Source](/docs/data-sources/create-a-data-source) - Return to the full create flow overview.
- [Data Sources Tabs](/docs/data-sources/channel-data-sources) - Review created data sources in the table.
- [Data Sources Tabs](/docs/data-sources/channel-data-sources) - Continue into the data source workspace from the site or channel list.
- [Home AI Assistant](/docs/ai-assistance/home-ai-assistant) - Use guided setup for an existing Vision data source.
- [Remote Control](/docs/ai-vision/remote-control) - Record the first video after setup.
- [Datasets](/docs/ai-vision/datasets) - Prepare images and annotations for training.