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Jetson ORIN NANO SUPER📖
01.Get started
  • 01. Learning route
  • 02. Get started quickly
  • 03. System Update Notesnew
  • 04. Disable automatic updates and troubleshooting issues
  • 05. Notes on Jetson Orin Nano Official Kitnew
02.Jetson basic course
  • 01.Jetson board introduction
  • 02.Write Jetson original system
  • 03.Installing Jetson environment
  • 04.Backup SSD system
  • 05.Restore initial image system
  • 06.Write SUPER original system(optional)
  • 07.Write SUPER boot (optional)
  • 08. SSD expansion
  • 09.Jetpack old system upgraded to Yahboom SUPER factory system
  • 10.Write the system onto your own solid-state drive
03.Basic setting course
  • 01.Basic knowledge
  • 02.Network configuration
  • 03.SSH remote login
  • 04.VNC remote control
  • 05.Remote file transfer
  • 06.Jtop tool
  • 07.Exchange space expansion
  • 08.Use VSCode
  • 09.Use VMware
04.GPIO control course
  • 01.GPIO description
  • 02.GPIO library installation
  • 03.GPIO reading
  • 04.GPIO output
  • 05.Serial communication
  • 06.I2C communication
05.Vision basic course
  • 01.CSI camera preview
  • 02.USB camera preview
  • 03.Use Jupyter Lab
  • 04.Use JetCam
06.OpenCV basic course
  • 01.Image reading
  • 02.Image saving
  • 03.Image modification
  • 04.Image scaling
  • 05.Image cropping
  • 06.Image translation
  • 07.Image mirroring
  • 08.Image grayscale conversion
  • 09.Image binarization
  • 10.Image edge detection
  • 11.Add line segments
  • 12.Add rectangles
  • 13.Add circular shape
  • 14.Add ellipses
  • 15.Add polygons
  • 16.Add Text
  • 17.Preview USB camera image
  • 18.Preview CSI camera image
07.Vision advanced course
01.Environment construction
  • 01.TensorFlow
  • 02.PyTorch
  • 03.Torchvision
02.DeepStream development
  • 01.DeepStream environment
  • 02.Four types of detection(traffic)
03.YOLO11 development
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training conversion
  • 11.Model prediction
04.Mediapipe development
  • 01.Mediapipe environment
  • 02.Hand detection
  • 03.Face detection
  • 04.Face effects
  • 05.3D object recognition
  • 06.Virtual brush
  • 07.Gesture recognition
  • 08.Finger control
  • 09.Posture estimation
  • 10.Face mask
  • 11.Overall detection
  • 12.Green scene removal(Human)
05.QR code recognition
  • QR code recognition
06.YOLO26 development
  • 01.YOLO environment constructionnew
  • 02.CLI usenew
  • 03.Object detectionnew
  • 04.Instance segmentationnew
  • 05.Pose estimationnew
  • 06.Image classificationnew
  • 07.Oriented object detectionnew
  • 08.Model conversionnew
  • 09.Dataset annotationnew
  • 10.Model training conversionnew
  • 11.Model predictionnew
08.Docker basic course
  • 01.Docker introduction
  • 02.Docker installation
  • 03.Docker command
  • 04.Docker usage
  • 05.Docker interaction
09.ROS1-Melodic
01.ROS1 basic course
  • 01. Introduction to ROS
  • 02. Project file structure
  • 03. Common commands and tools
  • 04. Publisher
  • 05. Subscribers
  • 06. Customize topic messages and use
  • 07. Client
  • 08. Server
  • 09. Customize service messages and usage
  • 10. TF release and monitoring
02.ROS1 vision course
  • 00.Must read before running
  • 01.Camera preview
  • 02.QR code
  • 03.Human posture estimation
  • 04.Target detection
  • 05.AR vision
  • 06.Opencv application
  • 07.ROS+Opencv basics
  • 08.Mediapipe development
10.ROS2-Humble
01.ROS2 basic course
  • 01.Introduction to ROS2
  • 02.ROS2 install Humble
  • 03.ROS2 development environment
  • 04.ROS2 workspace
  • 05.ROS2 function package
  • 06.ROS2 node
  • 07.ROS2 topic communication
  • 08.ROS2 service communication
  • 09.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
02.ROS2 vision course
  • 01.Camera preview (USB)
  • 02.Camera preview (CSI)
  • 03.Camera calibration (USB)
  • 04.Camera calibration (CSI)
  • 05.AR vision (USB)
  • 06.AR vision (CSI)
11.Offline AI model coursenew
Offline large model (Text Interaction)
  • 1.AI large model environment deployment
  • 2.Install large model dialogue platform
  • 3.Meta Al Llama3.2 model
  • 4.Alibaba Cloud Qwen3 model
  • 5.Microsoft Phi-4-mini model
  • 6.DeepSeek DeepSeek-R1 model
  • 7.Alibaba Cloud Qwen2.5v visual multimodal large model
  • 8.Google Gemma3 visual multimodal large model
  • 9.Lava visual multimodal large model
  • 10.MiniCPM-V visual multimodal large model
  • 11.Multimodal visual understand application
  • 12.Multimodal text image application
  • 13.Multimodal video analysis application
  • 14.Multi module visual position application
  • 15.Multimodal table scanning application
  • 16.Multimodal autonomous agent application
Offline large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Offline speech to text (ASR)
  • 2.Offline text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal text and graphics application
  • 6.Multimodal video analysis application
  • 7.Multi module visual position application
  • 8.Multimodal table scanning application
  • 9.Multimodal autonomous proxy application
  • 10.AI large model offline voice assistant
12.Online AI model coursenew
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multi module visual position application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
  • 8.AI large model online voice assistant
13.NVIDIA lsaac ROS coursenew
  • 1.Build lsaac ROS environment
  • 2.Deep segmentation
  • 3.DNN stereoscopic depth
  • 4.Free space segmentation
  • 5.Image distortion processing
  • 6.Image segmentation
  • 7.3D scene reconstruction and mapping
  • 8.Object detection
  • 9.3D attitude estimation
  • 10.Visual SLAM
14.OpenClaw Deployment and Basic Usagenew
  • 01.OpenClaw Quick Start on Jetson Platform
  • 02.OpenClaw Deployment
  • 03.OpenClaw WhatsApp Plugin Application
  • 04.OpenClaw WebChat Interaction
  • 05.OpenClaw TUI Interaction
  • 06.OpenClaw Tools Introduction
  • 07.OpenClawGate Gateway User Manual
  • 08.OpenClaw Features Overview
  • 09.OpenClawHub Introduction (Skill Installation)
  • 10.OpenClaw Application - File Management
  • 11.OpenClaw Application - Camera
  • 12.OpenClaw Application - Browser Control
  • 13.OpenClaw Application - Script Execution
  • 14.OpenClaw Application - AI Programming (Peripheral & GPIO Control)
  • 15.OpenClaw Application - Dedicated AI Assistant
  • 16.OpenClaw Web Search Capability Configuration
15.OpenClaw Advanced Developmentnew
1.Preparation Before Use
  • 01. Peripheral Hardware Configuration
  • 02. OpenClaw API-KEY Configuration
  • 03. OpenClaw Model Switching
  • 04. OpenClaw Prompts
  • 05. AI Voice Interaction Configuration
  • 06. Three Dialogue Configuration Tests
2.OpenClaw AI Programming Peripheral Control
  • 1. Servo Control
  • 2. RGB Strip
  • 3. OLED Display
  • 4. Temperature and Humidity Sensor
  • 5. Camera Application
  • 6. AI Script Peripheral Control
3.OpenClaw Peripheral Integration Applications
  • 1. Plant Care Assistant
  • 2. AI Calorie Estimation
  • 3. AI Rock Paper Scissors Game
  • 4. AI Pet
  • 5. AI Weather Station
  • 6. Temperature and Humidity Dashboard
  • 7. Scheduled Tasks
Download
  • System_File
  • VM_File
  • 3D_Model_File
  • DataSheet_File
  • Software_Tools
  • Code
  • Instruction_Manual
  • ROS2_Basic_VM
Download ZIP

Welcome to Jetson ORIN NANO SUPER repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

02.Write Jetson original system

Write Jetson original system

Write Jetson original system1. Hardware connection1.1. Flashing mode1.2. Motherboard connection2. Software connection3. Use of SDK Manager3.1, SDK Manager download3.2, SDK Manager installation3.3, Start and log in to your account3.4, Motherboard selection3.5, STEP13.6, STEP23.7, STEP33.8, STEP44, start the system4.1, Normal mode4.2, Start the system4.3, System settingsFrequently asked questionsUnrecognized device

The tutorial demonstrates burning the NVIDIA official system image on the Jetson Orin motherboard. It is not recommended for beginners!

Note: 1. The solid-state drive that comes with the product has a factory image, which contains the NVIDIA official system and motherboard environment; if you do not require a pure system, do not operate!

2. The Orin nano SUB and Orin NX SUB series cannot activate the MAXN mode using this method. If the SUB board wants to use the MAXN mode, do not refer to this tutorial!

1. Hardware connection

1.1. Flashing mode

The Jetson Orin motherboard needs to short-circuit the FC REC and GND under the core board to enter the flashing mode:

image-20250109180636160

1.2. Motherboard connection

The Jetson Orin motherboard needs to be connected to a DC power adapter, DP data cable, network cable and Type C data cable: Type C data cable connects to the computer

This illustration is based on the official version of Jetson Orin Nano. Users of other versions can refer to it for use (the hardware interface and functional layout are the same).

image-20250109180831845

2. Software connection

The tutorial uses VMware Workstation 17 Pro to burn the system!

After starting the virtual machine, select in the menu bar: Virtual Machine → NVIDIA APX → Confirm the status of the connection with the virtual machine

image-20250123100406992

3. Use of SDK Manager

To use SDK Manager, you need to register an account and log in in advance. Register and log in to the account by yourself!

You don't need to install SDK Manager to use our virtual machine. If you can't update SDK Manager, you can reinstall it according to the following tutorial

3.1, SDK Manager download

Official website: https://developer.nvidia.com/sdk-manager

image-20250109171631722

3.2, SDK Manager installation

Enter the folder where the installation package is located and run the installation command:

xxxxxxxxxx
sudo dpkg -i sdkmanager_2.2.0-12028_amd64.deb

Repair dependency: A clean system may have an error message when installing sdkmanager. You can run the following command and then rerun the installation command

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sudo apt --fix-broken install -y

image-20250109173336117

3.3, Start and log in to your account

Find the SDK Manager application icon in the system application menu bar or enter the following command in the terminal to start:

xxxxxxxxxx
sdkmanager
# To burn the old version of Jetpack, you need to use the command: sdkmanager --archived-versions

After clicking login, the browser login page will pop up automatically:

image-20250109173851025

Enter the previously registered account and password to enter the software:

image-20250109174138690

3.4, Motherboard selection

Choose according to your own motherboard model: For the official kit, select Jetson Orin Nano [*GB developer kit version]

image-20250109174226263

3.5, STEP1

Check the options below, confirm that they are consistent, and click CONTINUE:

image-20250109174317901

3.6, STEP2

Check the options below, confirm that they are consistent, and click CONTINUE:

image-20250109174508253

image-20250109174519757

Enter the virtual machine password: yahboom

image-20250109174549168

image-20250109174556721

3.7, STEP3

Wait for the system to download successfully:

image-20250109174659266

image-20250109174901170

Select the motherboard model, OEM configuration, and system storage medium:

image-20250109175753447

The virtual machine automatically controls the connection and disconnection of the device during the whole process, but more than 95% of the progress needs to pay attention to the SDK Manager burning system progress, once disconnected and not automatically connected to the virtual machine, you need to manually connect the motherboard to the virtual machine in time:

image-20250109181833561

image-20250116113445820

3.8, STEP4

image-20250109182517227

4, start the system

After successfully burning the system using SDK Manager, you can disconnect the hardware connection between the motherboard and the computer and restore the motherboard to normal startup mode.

4.1, Normal mode

Unplug the FC REC and GND jumper caps that are shorted when flashing the Jetson Orin motherboard.

4.2, Start the system

Connect the DP data cable, network cable and Type C data cable to the Jetson motherboard, and finally use the DC power adapter to power the Jetson motherboard.

xxxxxxxxxx
The Jetson Orin series motherboard needs to be connected to a monitor to display the screen normally and perform VNC remote

4.3, System settings

After starting the system, users can set system options according to the prompts of the system.

Frequently asked questions

Unrecognized device

You can disconnect the DC power supply and Type C data cable of the motherboard, and then re-power it on to connect the virtual machine!

Jetson board introduction
Installing Jetson environment

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