# Deploy with NVIDIA's Jetson

Connecting OAK devices to NVIDIA Jetson SBCs unleashes powerful edge AI capabilities. To install the DepthAI library on a Jetson
device, follow the steps to install dependencies and the library itself through pip. DepthAI provides prebuilt wheels for Jetson
on [PyPi](https://pypi.org/project/depthai/).

## Installing DepthAI on Jetson

To install DepthAI on [Jetson Nano](https://developer.nvidia.com/embedded/jetson-nano-developer-kit) or [Jetson
Xavier](https://developer.nvidia.com/embedded/jetson-xavier-nx-devkit), perform the following steps, after completing a fresh
install and setup. On the first log in, do not immediately run updates.

This first step is optional: go to the Software (App Store) and delete the apps or software that you probably will not use.

### apt update/upgrade

Open a terminal window and run the following commands:

```bash
sudo apt update && sudo apt upgrade
sudo reboot now
```

### SWAP size

Change the size of your SWAP. These instructions come from the [Getting Started with AI on
Jetson](https://developer.nvidia.com/embedded/learn/jetson-ai-certification-programs) from Nvidia:

```bash
# Disable ZRAM:
sudo systemctl disable nvzramconfig
# Create 4GB swap file
sudo fallocate -l 4G /mnt/4GB.swap
sudo chmod 600 /mnt/4GB.swap
sudo mkswap /mnt/4GB.swap
```

If you have an issue with the final command, you can try the following:

```bash
sudo vi /etc/fstab
# Add this line at the bottom of the file
/mnt/4GB.swap swap swap defaults 0 0
# Reboot
sudo reboot now
```

### Dependencies

Install depthai dependencies

```bash
sudo wget -qO- https://docs.luxonis.com/install_dependencies.sh | bash
```

### venv

Create a python virtual environment

```bash
sudo apt install python3-venv
python3 -m venv depthai
source depthai/bin/activate
```

> **Install in venv**
> Before installing
> `depthai`
> , make sure you're in the virtual environment.

### DepthAI repo

Clone the DepthAI repository and install the library

```bash
#Clone github repository
git clone https://github.com/luxonis/depthai-python.git
cd depthai-python
python3 examples/install_requirements.py
```

### .bashrc

Last step is to edit .bashrc with the line:

```bash
echo "export OPENBLAS_CORETYPE=ARMV8" >> ~/.bashrc
```

This should take care of all the dependencies and install the DepthAI library. You can now run the examples and use the DepthAI
library on your Jetson device.

## Powering OAK from Jetson

Jetson devices can generally provide sufficient power to OAK cameras directly via USB, thanks to their robust power supply
systems. However, if you encounter stability issues or plan to connect multiple USB devices, consider using an externally powered
USB hub or powering the OAK device through the [Y-Adapter](https://docs.luxonis.com/hardware/products/Y-adapter.md).

## Interface Options

If you're working headlessly with the Jetson, you can SSH into it similarly to the Raspberry Pi. Ensure that SSH is enabled (it is
by default on most Jetson images):

```bash
ssh username@jetson_ip_address
```

Replace username with your Jetson's username (default is usually jetson or nvidia) and jetson_ip_address with the device's IP
address.

If you're using a Jetson with a graphical interface, you can use X11 forwarding to display GUI elements on your local machine. To
do this, use the -X flag when SSHing into the Jetson:

```bash
ssh username@jetson_ip_address -X
```

Alternatively, you can use VNC to access the Jetson's graphical interface remotely. To enable VNC, go to Settings > Sharing >
Screen Sharing and enable the service. Then, use a VNC client to connect to the Jetson's IP address.