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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

7.RDK exclusive command usage

RDK exclusive command usage

RDK exclusive command usage1. hrut_boardid2. hrut_ps3. rdk-miniboot-update4. rdkos_info

1. hrut_boardid

hrut_boardid command is used to get the number of the current development board (different development boards have different numbers).

⚠️ boardid will affect the initialization of the hardware at startup, please set it with caution.

  • Syntax

    xxxxxxxxxx
    hrut_boardid -h
    Usage:
            hrut_boardid: prints current boardid
            -h: Print this message

2. hrut_ps

hrut_ps command prints process status information including process number, parent process number, priority, memory, virtual memory, etc. which are not supported by busybox's ps command.

  • Syntax

xxxxxxxxxx
  hrut_ps
  • Supported information

  • pid: Process ID. Each process has a unique identification number in the operating system, called the process ID (pid). It is used to uniquely identify and identify a process in the system.

  • ppid: Parent process ID. It indicates the parent process that created the process.

  • state

    : Running state.

  • I: Idle.
  • R: Running.
  • S: Sleeping.
  • D: Disk Sleeping.
  • T: Stopped.
  • X: Dead.
  • Z: Zombie.
  • t: Tracing stop.
  • P: Parked.
  • prio: Priority. Indicates the scheduling priority of the process, usually a numerical value. A higher value indicates a higher priority, and the process may be more likely to obtain CPU time slices.
  • nice: Scheduling priority. Indicates the scheduling priority of the process, usually an integer value. A lower nice value indicates a higher priority, allowing the process to obtain CPU time more frequently.
  • rt_prio: Real-time priority. Indicates the priority of the real-time process, and a lower value indicates a higher real-time priority.
  • policy: Scheduling policy. Indicates the scheduling policy of the process, usually a scheduling algorithm, such as first-come, first-served (FIFO), round-robin, etc.
  • vsize: Virtual memory size. Indicates the virtual memory size of the process, that is, the size of the virtual address space that the process can access.
  • rss: Physical memory usage. Indicates the physical memory size currently occupied by the process, that is, the physical RAM size actually allocated to the process.
  • comm: Command name. Contains the command name of the process or the name of the executable file, used to identify the type or purpose of the process.

3. rdk-miniboot-update

rdk-miniboot-update command is used to update the minimal boot image (miniboot) of the RDK hardware.

  • Syntax

xxxxxxxxxx
sudo rdk-miniboot-update [options]... [FILE]
  • Option Description

Options are optional and not required. If run without any option parameters, rdk-miniboot-update will use the latest version of the miniboot image to complete the upgrade.

  • -f: Install the specified file instead of installing the latest applicable update.
  • -h: Display help text and exit.
  • -l: Return the full path to the latest available miniboot image according to the FIRMWARE_RELEASE_STATUS and FIRMWARE_IMAGE_DIR settings. You can see what image file is used for the update without option parameters.
  • -s: Do not display progress messages.
  • Common commands

Update the miniboot image to the latest version

xxxxxxxxxx
sudo rdk-miniboot-update

Update to use the specified miniboot image

xxxxxxxxxx
sudo rdk-miniboot-update -f /userdata/miniboot.img

Check which image file will be used for update without option parameters

xxxxxxxxxx
sunrise@ubuntu:~$ rdk-miniboot-update -l
/lib/firmware/rdk/miniboot/default/disk_nand_minimum_boot_2GB_3V3_20230413.img

4. rdkos_info

rdkos_info command is used to collect the software and hardware versions, driver loading list, RDK software package installation list and the latest system log of the RDK system at one time, so that users can quickly obtain the current system status information.

  • Syntax

xxxxxxxxxx
sudo rdkos_info [options]
  • Option Description

All options are optional, not required. If run without any option parameters, rdkos_info will install the simple mode output information by default.

  • -b: Basic output mode, no system logs will be collected.
  • -s: Simple output mode (default), output 30 lines of the latest system log.
  • -d: Detailed output mode, output 300 lines of the latest system log.
  • -v: Display version information.
  • -h: Display help information.
  • Common commands

Default usage

xxxxxxxxxx
sudo rdkos_info

Part of the output is as follows:

​x
================ RDK System Information Collection ================

[Hardware Model]:
        D-Robotics RDK X5 V1.0 (Board Id = 302)

bash: hrut_somstatus: No such file or directory
[CPU And BPU Status]:


[Total Memory]:         3.0Gi
[Used Memory]:          596Mi
[Free Memory]:          1.4Gi
[ION Memory Size]:      128MB
[ION Reserved Memory Size]:     320MB
[ION Carveout Memory Size]:     320MB


[RDK OS Version]:
        3.0.0

[RDK Kernel Version]:
        Linux ubuntu 6.1.83 #6 SMP PREEMPT Wed Sep 18 11:44:41 CST 2024 aarch64 aarch64 aarch64 GNU/Linux

[RDK Miniboot Version]:
        U-Boot 2022.10-gc224213d-dirty (Sep 06 2024 - 17:17:44 +0800)
Self-startup setting
Linux command usage

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