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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

3.Hardware interface description

Hardware interface description

Hardware interface description1. Interface OverviewPower InterfaceDebug Serial PortEthernet PortHDMI Display InterfaceUSB InterfacesConnecting USB Flash DrivesConnecting USB-to-Serial AdaptersConnecting USB CamerasMIPI Camera InterfaceLCD Display InterfaceMicro SD InterfaceWi-Fi Antenna InterfaceCAN FD Interface40-pin GPIO Interface

1. Interface Overview

      
No.FunctionNo.FunctionNo.Function
1Power Interface (USB Type C)2RTC Battery Interface3Easy Connect Port (USB Type C)
4Debug Serial Port (Micro USB)5Dual MIPI Camera Ports6Gigabit Ethernet Port with PoE
74 USB 3.0 Type A Ports8High-Speed CAN FD Interface940-pin GPIO Interface
10HDMI Display Interface11Multi-standard Headphone Jack12Onboard Wi-Fi Antenna
13TF Card Interface (Bottom)14LCD Display Interface (MIPI DSI)  

Power Interface

The development board provides a USB Type C interface (No. 1) as the power interface. It requires a 5V/5A power adapter for supplying power to the board. Once the adapter is connected, the green power indicator and the orange indicator will light up, indicating normal power supply.

caution

Do not use a computer USB port to power the board. Insufficient power may cause abnormal shutdown or repeated reboots.


Debug Serial Port

The development board includes a debug serial port (No. 4) for serial login and debugging functions. Configure the parameters in the serial tool on your computer as follows:

  • Baud rate: 115200
  • Data bits: 8
  • Parity: None
  • Stop bits: 1
  • Flow control: None

To connect, use a Micro USB cable to link the board's Interface 4 to your PC. For first-time use, you may need to install the CH340 driver on your computer. Search for CH340 serial port driver to download and install it.


Ethernet Port

The development board features a Gigabit Ethernet port (No. 6) supporting 1000BASE-T and 100BASE-T standards. By default, it uses a static IP configuration with the address 192.168.127.10. To verify the board's IP address, log in via the serial port and use the ifconfig command to check the configuration of the eth0 interface.

Additionally, this port supports PoE (Power over Ethernet), allowing simultaneous data and power transmission via a single Ethernet cable for easier installation.


HDMI Display Interface

The development board includes an HDMI display (Interface 10) that supports a maximum resolution of 1080p. Using the HDMI interface, the board can output the Ubuntu system desktop (on the Ubuntu Server version, it displays the logo). The HDMI interface also supports real-time display of camera and network stream images.


USB Interfaces

The development board supports multiple USB interface extensions to accommodate various USB devices. Details are as follows:

Interface TypeInterface No.QuantityDescription
USB 2.0 Type CNo. 31 portUSB Device mode for ADB, Fastboot, system flashing, etc.
USB 3.0 Type ANo. 74 portsUSB Host mode for connecting USB 3.0 peripherals, expanding 4 USB ports through a hub.

Connecting USB Flash Drives

The USB Type A ports (Interface 7) support USB flash drives, which will be automatically detected and mounted. The default mount directory is /media/sda1.

Connecting USB-to-Serial Adapters

The USB Type A ports (Interface 7) support USB-to-serial adapters, which will be automatically detected and create device nodes such as /dev/ttyUSB* or /dev/ttyACM* (where the asterisk represents a number starting from 0). Refer to the 40-pin UART Usage section for details.

Connecting USB Cameras

The USB Type A ports support USB cameras, which will be automatically detected and create device nodes such as /dev/video0.


MIPI Camera Interface

The development board provides two MIPI CSI interfaces (No. 5) for connecting up to two MIPI cameras, including stereo cameras. Compatible camera modules and specifications are as follows:

No.SensorResolutionFOVI2C Device Address
1IMX2198 MP  
2OV56475 MP  

Connect the camera module to the board using an FFC (Flat Flex Cable) with the blue side facing upwards. After installation, use the i2cdetect command to check if the I2C address of the module can be detected.

caution

Important: Do not connect or disconnect the camera while the board is powered on, as this may damage the camera module.


LCD Display Interface

The RDK X5 provides an LCD display interface (MIPI DSI, Interface 14) that supports LCD screens. This interface is 22-pin and can use DSI-Cable-12cm to directly connect to various LCD displays for Raspberry Pi.


Micro SD Interface

The development board includes a Micro SD card interface (Interface 13). It is recommended to use a card with at least 16GB of storage to meet the installation requirements of Ubuntu and related packages.

caution

Do not hot-swap the TF card during use, as it may cause system abnormalities or file system corruption.


Wi-Fi Antenna Interface

The board supports both onboard and external antennas for wireless networking. The onboard antenna is sufficient for most scenarios. If the board is enclosed in a metal casing, connect an external antenna to the port near Interface 12 to enhance signal strength.


CAN FD Interface

The RDK X5 provides a CAN FD interface for CAN and CAN FD communication. Refer to the [CAN Usage] section for details.


40-pin GPIO Interface

The development board provides a 40-pin standard interface for convenient peripheral expansion. The digital I/Os use a 3.3V voltage level. The pin definitions for the 40-pin interface are as follows: image-20220828203147852

The development board has silk screen markings on the 40-pin interface to facilitate operation. The locations of PIN1 and PIN40 are as follows:

image-20220828203207798

 

 

Write system file
Install case and other accessories

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