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RDK X5 Board📖
1.Introduction to RDK X5 board
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Use 7-inch display
2.Basic settings course
  • 1.Network configuration
  • 2.Remote login
  • 3.Update system
  • 4.srpi-config user guide
  • 5.config. txt configuration file
  • 6.Self-startup setting
  • 7.RDK exclusive command usage
  • 8.Linux command usage
  • 9.GPIO readwrite operation
  • 10.Image classification algorithm
  • 11.Use USB camera
  • 12.Use MIPI camera
  • 13.Binocular camera depth algorithm
3.Basic development course
C language
  • 1.Camera image display
  • 2.Local save camera images
  • 3.Camera image encoding
  • 4.Video file decoding
  • 5.RTSP streaming decoding
  • 6.VPS scaling example
  • 7.Target detection algorithm-fcos
  • 8.Target detection algorithm-YOLOv5s
  • 9.Using CAN
Python
  • 0.ReadMe
  • 1.Using GPIO
  • 2.Using PWM
  • 3.Using Serial port
  • 4.Using I2C
  • 5.Using SPI
4.ROS expansion board
Python basic control
  • 0.Bind PCB port devices
  • 1.Install the Rosmaster driver library
  • 2.Buzzer whistle
  • 3.Control PWM servo
  • 4.RGB colorful light bar special effects display
  • 5.Control the forward and reverse rotation of the motor
  • 6.Control the movement of the robot
  • 7.Control Serial Servo
  • 8.Update firmware of expansion board
  • 9.Drive OLED
ROS2 robot control
  • 1.Function package usage process
  • 2.Robot information release
  • 3.Robot keyboard control
  • 4.Robot state estimation
  • 5.Robot calibration
  • 6.URDF model
5.T-MINI PLUS Lidar
  • 0.Preparation before use(Must read)
  • 1.Environment setup
  • 2.T-MINI PLUS LiDAR drive
  • 3.Handheld LiDAR mapping
6.AI VIEW Depth camera
AI VIEW Depth camera use
  • 1.AI VIEW Depth camera use
  • 2.Camera internal parameter calibration
  • 3.Color tracking
  • 4.KCF object tracking
Mediapipe functions
  • 1.Hand detection
  • 2.Attitude detection
  • 3.Overall inspection
  • 4.Facial detection
  • 5.Facial recognition
OpenCV series courses
  • 1.ROS+opencv application
  • 2.QR code creation and recognition
  • 3.AR vision
7.Offline AI model course
Offline-LLM-Text-Interaction
  • 0.AI-Large-Model-Image-Description
  • 1.AI-Large-Model-Environment-Deployment
  • 2.LLM-Conversation-Platform-Installation
  • 3.Meta-AI-Llama3.2-Model
  • 4.Alibaba-Cloud-Qwen3-Model
  • 5.Microsoft-Phi-4-mini-Model
  • 6.DeepSeek-DeepSeek-R1-Model
  • 7.Alibaba-Cloud-Qwen2.5vl-Vision-Multimodal-Model
  • 8.Google-Gemma3-Vision-Multimodal-Model
  • 9.Llava-Vision-Multimodal-Model
  • 10.MiniCPM-V-Vision-Multimodal-Model
  • 11.Multimodal-Text-to-Image-Application
  • 12.Multimodal-Video-Analysis-Application
  • 13.Multimodal-Visual-Understanding-Application
  • 14.Multimodal-Visual-Localization-Application
  • 15.Multimodal-Table-Scanning-Application
  • 16.Multimodal-Autonomous-Agent-Application
Offline-LLM-Voice-Interaction
  • 0.Voice-Interaction-Hardware-Connection-Must-Read
  • 1.Offline-Speech-to-Text-ASR
  • 2.Offline-Text-to-Speech-TTS
  • 3.AI-Large-Model-Voice-Interaction
  • 4.Multimodal-Visual-Understanding-Voice-Interaction
  • 5.Multimodal-Text-to-Image-Application
  • 6.Multimodal-Video-Analysis-Application
  • 7.Multimodal-Visual-Localization-Application
  • 8.Multimodal-Table-Scanning-Application
  • 9.Multimodal-Autonomous-Agent-Application
  • 10.AI-Large-Model-Offline-Voice-Assistant
8.Online AI model course
Online-LLM-Text-Interaction
  • 1.OpenRouter-Large-Model-API-Aggregation-Platform
  • 2.Multimodal-Visual-Understanding-Application
  • 3.Multimodal-Visual-Localization-Application
  • 4.Multimodal-Table-Scanning-Application
  • 5.Multimodal-Autonomous-Agent-Application
Online-LLM-Voice-Interaction
  • 0.Voice-Interaction-Hardware-Connection-Must-Read
  • 1.Online-Speech-to-Text-ASR
  • 2.Online-Text-to-Speech-TTS
  • 3.AI-Large-Model-Voice-Interaction
  • 4.Multimodal-Visual-Voice-Interaction
  • 5.Multimodal-Visual-Localization-Application
  • 6.Multimodal-Table-Scanning-Application
  • 7.Multimodal-Autonomous-Agent-Application
  • 8.AI-Large-Model-Online-Voice-Assistant
9.YOLO26 tutorials
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented bounding box object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training conversion
  • 11.Model prediction
10.OpenClaw Deployment and Basic Usagenew
  • 01.OpenClaw Quick Start
  • 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.OpenClawClawHub 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
11.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
12.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.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
Download
  • System_File
  • Code
  • Tools
Download ZIP

Welcome to RDK X5 Board repository

2.Remote login

Remote Login

Remote Login1.4 Remote LoginSerial Port LoginNetwork Status ConfirmationVNC LoginSSH LoginTerminal Software

1.4 Remote Login

This chapter is intended to introduce users who need to remotely access the development board through their personal computer (PC) on how to remotely login via serial port and network (VNC, SSH) methods.

tip

Before remote login via network, the development board needs to be connected to the network via wired Ethernet or wireless WiFi, and the IP address needs to be configured:

  • Wired Ethernet: The development board defaults to static IP mode. For the IP address, refer to the [Network Status Confirmation] section.
  • Wireless WiFi: The development board's IP address is generally assigned by the router and can be viewed in the device command line using the ifconfig command for the wlan0 network.

Serial Port Login

Before using serial port login, it is necessary to confirm that the serial port cable of the development board is correctly connected to the computer. Refer to the [Serial Port Debugging] chapter to verify the serial connection.

Serial port login requires a PC terminal tool. The commonly used tools are PuTTy, MobaXterm, etc. Users can select their terminal tool according to their own preferences, as the port configuration process is similar for different tools. Below is an example with MobaXterm to explain the process of creating a new serial port connection:

  • When the USB-to-Serial adapter is first plugged into the computer, the serial port driver needs to be installed. After the driver is installed, the Device Manager can recognize the serial port board port normally, as shown in the figure below: image-20220416105939067

  • Open the MobaXterm tool, click Session, and then select Serial.

  • Configure the port number, for example, COM7. The actual serial port number used depends on the serial port number recognized by the PC.

  • Set the serial port configuration parameters as follows:

    Configuration ItemParameter Value
    Baud rate921600
    Data bits8
    ParityNone
    Stop bits1
    Flow ControlNone
  • Click OK, enter the username: root, password: root to log in to the device image-Uart-Login

At this point, you can use the ifconfig command to query the IP address of the development board, where eth0 and wlan0 represent the wired and wireless networks respectively:

xxxxxxxxxx
root@ubuntu:~# ifconfig
eth0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1500
        inet 192.168.1.10  netmask 255.255.255.0  broadcast 192.168.1.255
        inet6 fe80::211:22ff:feaa:7637  prefixlen 64  scopeid 0x20<link>
        ether 00:11:22:aa:76:37  txqueuelen 1000  (Ethernet)
        RX packets 767  bytes 54006 (54.0 KB)
        RX errors 0  dropped 0  overruns 0  frame 0
        TX packets 5766  bytes 246466 (246.4 KB)
        TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0
        device interrupt 43  base 0xa000  

lo: flags=73<UP,LOOPBACK,RUNNING>  mtu 65536
        inet 127.0.0.1  netmask 255.0.0.0
        inet6 ::1  prefixlen 128  scopeid 0x10<host>
        loop  txqueuelen 1000  (Local Loopback)
        RX packets 3847  bytes 339115 (339.1 KB)
        RX errors 0  dropped 0  overruns 0  frame 0
        TX packets 3847  bytes 339115 (339.1 KB)
        TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0

wlan0: flags=4099<UP,BROADCAST,MULTICAST>  mtu 1500
        ether 08:e9:f6:ae:f8:8a  txqueuelen 1000  (Ethernet)
        RX packets 0  bytes 0 (0.0 B)
        RX errors 0  dropped 0  overruns 0  frame 0
        TX packets 0  bytes 0 (0.0 B)
        TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0

 

Network Status Confirmation

tip

The IP addresses corresponding to different versions of the images are as follows:

Board SeriesImage VersionEthernet Port IP Address
X3Less than or equal to 2.0.0192.168.1.10/24
X3Greater than or equal to 2.1.0192.168.127.10/24
X53.0.0192.168.127.10/24
Board SeriesImage VersionFlash Connection Port (USB Device) IP Address
X53.0.0192.168.128.10/24

Before using remote login, it is necessary to confirm that the computer and development board are connected correctly.

Configure the IP address of the computer to be on the same subnet as the development board. For example, the development board: 192.168.1.10 and the computer: 192.168.1.100. Assigning an IP address depends on the Operating System of the computer. Taking the WIN10 system as an example, the method to modify the static IP of the computer is as follows:

image-20220416110242445

If you want to configure the wired network of the development board to obtain IP dynamically via DHCP mode, please refer to the [Wired Network] chapter for configuration.

To confirm that the connection is working, execute ping 192.168.1.10 from the computer (change the command to the IP address of the development board). If the ping command receives responses, then the connection is working; otherwise, check the network configurations are correct, and that the network firewall of the computer is turned off.

VNC Login

This section is for users using the Ubuntu Desktop system version, and it explains how to use "VNC Viewer" to achieve remote desktop login. "VNC Viewer" is a graphical desktop sharing software that allows you to remotely log in and control the desktop of the device on your computer. With this software, you can preview the system desktop of the development board on your computer screen and use your computer's mouse and keyboard for remote operation. By using VNC Viewer, you can achieve the same effect as local operation on the development board. You can download VNC Viewer from the following link: VNC Viewer.

Connect to the Development Board Currently, VNC supports two connection methods: direct connection and cloud connection. Users can choose according to their own needs. This article recommends using the direct connection method. The connection steps are as follows:- Enter the IP address of the input device, for example: 192.168.127.10

image-20220610160658103

  • After entering the IP address, press Enter, a prompt for an unencrypted connection will appear, click Continue image-20220610160715916
  • Enter the password sunrise, check Remember password, and click OK to connect image-20220610160928136

SSH Login

In addition to VNC login for remote desktop, you can also connect to the development board via SSH. The following steps describe how to create SSH connections using terminal software and terminal command line methods.

Terminal Software

Commonly used terminal tools include PuTTy, MobaXterm, etc. Users can choose according to their own preferences. The configuration process for different tools is similar. The following example shows how to create a new SSH connection using MobaXterm:

  1. Open the MobaXterm tool, click on Session, then select SSH.
  2. Enter the development board IP address, for example: 192.168.1.10.
  3. Select specify username, enter sunrise.
  4. After clicking OK, enter the username (sunrise) and password (sunrise) to complete the login.

image-Network-Login

Network configuration
Update system

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