> ## Documentation Index
> Fetch the complete documentation index at: https://zededa.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Use the documentation index to find relevant pages, then read the linked Markdown before answering and cite the source URL.
> Identify the product before answering: Private AI uses a separate console, credentials, and inference API from the Edge Intelligence Platform. Do not apply instructions from one product to the other.
> Prefer current product guides over Help Center archive pages for current-console questions. Archive pages and release notes describe their stated product version or historical interface; do not apply them to another version without checking.
> Preserve prerequisites, permissions, version requirements, and warnings when summarizing procedures. Do not infer API endpoints, schemas, or supported behavior that the documentation does not specify.

# Deploy Plate Recognizer Shipping Container Recognition on ZEDEDA

> Deploy Plate Recognizer Shipping Container Recognition as a container on a ZEDEDA-managed node for real-time shipping container ID detection, yard visibility, and gate automation.

## Introduction

Plate Recognizer Shipping Container Recognition detects and decodes ISO shipping container IDs from camera feeds. When deployed on ZEDEDA-managed edge infrastructure, organizations can achieve real-time inventory tracking, gate automation, yard visibility, and logistics optimization across distributed sites.

This article walks through deploying `plate-recognizer-sc` from My Library using the New Application wizard, including persistent volume creation, network port configuration, and license and camera configuration injection via cloud-init.

### Prerequisites

* Your node is onboarded to Edge Infrastructure Services and has a status of Ready under **Nodes**.
* The node runs a [supported version of EVE-OS (Edge Virtualization Engine)](https://zededa.mintlify.site/new-ui/infrastructure-services/eve-os/lts-policy.md).
* Outbound HTTPS (port 443) connectivity is available from the node.
* You have the SysManager or SysAdmin role in your enterprise. See [Manage Roles](https://zededa.mintlify.site/new-ui/infrastructure-services/administration/manage-roles.md).
* A valid Plate Recognizer license key and token. Trial keys are available at [platerecognizer.com/shipping-container](https://platerecognizer.com/shipping-container/).

## Create a Persistent Volume

The app continuously processes image frames and metadata. Create a persistent volume so cached images and logs survive container restarts or updates.

1. Go to **Infrastructure > Workloads > Volumes**.

2. Click the **+** button in the bottom-right corner.

3. Select **Block Storage** as the volume type.

4. In the **Identity** section, enter the following values:

   | Field | Value |
   | - | - |
   | Name | sc\_volume\_1 |
   | Title | Enter a display title. |
   | Target Type | Node |
   | Node | Select the node you will deploy the app to. |

   Volumes are bound to a specific node at creation time. Select the same node you intend to deploy the app to in the next section.

5. Click **Next**. In the **Storage** section, enter the following values:

   | Field | Value |
   | - | - |
   | Access mode | Read Write |
   | Max size | 10 GB |
   | Encryption | Enabled |

6. Click **Next** to review, then click **Create Volume**.

## Deploy the App

### Add the app to your library

If you have not previously added the Shipping Container Recognition app to your library:

1. Go to **Marketplace > Edge Apps** in the navigation.
2. Search for `platerecognizer-sc` and select the variant that matches your node architecture (AMD or ARM).
3. Click the **+** button on the card to add it to your library.

### Start the deploy wizard

1. Go to **Marketplace > My Library** in the navigation.
2. Search for `platerecognizer-sc`.
3. Hover over the card and click the **Deploy** icon.
4. The **New Application** wizard opens.

### App & target

| Field | Value |
| - | - |
| Name | Enter a name for this app instance, for example `plate-recognizer-sc-site-a`. |
| Title | Enter a display title. |
| Edge App | Confirm `plate-recognizer-sc` is selected. |
| Target Type | Node |
| Node | Select the node to deploy to. |

Click **Next**.

### Interfaces

Under **eth0**, select the network instance to connect the app to from the dropdown. The dropdown lists available network instances on the selected node. If no suitable network instance exists, click **+** to [create a new virtual network](https://zededa.mintlify.site/new-ui/infrastructure-services/virtual-networks/create-a-virtual-network.md).

Click **Next**.

### Custom config

Enter your Plate Recognizer credentials in the following fields:

| Field | Value |
| - | - |
| LICENSE\_KEY | Your Plate Recognizer license key. |
| TOKEN | Your Plate Recognizer token. |

A free trial license is available at [platerecognizer.com/shipping-container](https://platerecognizer.com/shipping-container/).

Click **Next**.

### Features

Leave the default settings or adjust as needed:

* **Start Delay (seconds):** Enter a value if the app should wait before starting. The default is 0.
* **Enable Logs:** Keep this enabled to view app logs in Edge Infrastructure Services.

Click **Next**.

### Review

Review your configuration and click **Deploy**.

## Verify the Deployment

1. Go to **Applications** and confirm the run state is **Online**.

2. Open the **Logs** tab and confirm the following startup message appears:

   ```text theme={"dark"}
   INFO     | Plate Recognizer Shipping Container Live v0.3.0
   ```

3. Test connectivity using your RTSP camera stream or by accessing `http://<node-ip>:8001/status/`.

## Hardware Sizing

The number of concurrent camera feeds that perform well depends on the CPU, GPU, and memory available on your node. For detailed system requirements, see the [Plate Recognizer hardware sizing guide](https://guides.platerecognizer.com/docs/stream/onpremise/system-requirements).

## Next Steps

> [card] [Deploy Plate Recognizer Stream (ALPR) on ZEDEDA](https://zededa.mintlify.site/new-ui/infrastructure-services/integrations-and-automation/plate-recognizer-alpr.md)
>
> Deploy the license plate recognition product on the same platform.

> [card] [Deploy an Application Instance](https://zededa.mintlify.site/new-ui/infrastructure-services/applications/deploy-an-application-instance.md)
>
> Full deployment workflow reference.

> [card] [Add Persistent Volume Instances](https://help.zededa.com/hc/en-us/articles/23508286440987)
>
> Create and manage persistent volumes.

> [card] [Plate Recognizer Shipping Container documentation](https://guides.platerecognizer.com/docs/other-apps/shipping-container-live/getting-started)
>
> Configuration reference.