yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
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. OLED Display

OpenClaw OLED Display Tutorial

Before starting, please complete [01-Peripheral Hardware Configuration], [02-OpenClaw API-KEY Configuration], [03-OpenClaw Model Switching], [04-OpenClaw Prompts], [05-AI Voice Interaction Configuration], and [06-Three Conversation Scheme Configuration and Testing] in the Preparation for Use directory. If you are currently only using TUI / WhatsApp, you can skip 05 for now. This document assumes the basic environment is already prepared and only expands on OLED-related content.

1. Tutorial Objectives

This tutorial demonstrates OpenClaw's natural language control capabilities through OLED peripherals. After completing this tutorial, readers will be able to:

  • Understand the basic idea of OpenClaw controlling OLED displays
  • Interact with OpenClaw via three methods: WhatsApp, TUI, and voice code
  • Complete four OLED cases: text display, metric display, weather card, animation display
  • Understand the complete pipeline from "user input" to "screen display"

2. Hardware Preparation

  • OpenClaw main board

  • OLED display [Default SSD1306 128x32 / I2C Address 0x3C]

  • [Optional] Microphone module

  • Wiring diagram

    image-20260427181036461

3. Software Preparation

Code entry points used in the tutorial

  • Low-level driver code: /home/sunrise/hardware_hal_demo/
  • OLED control command: /home/sunrise/hardware_hal_demo/oled
  • Temperature and humidity linkage display: /home/sunrise/hardware_hal_demo/dht_oled
  • Voice entry point: /home/sunrise/voice_to_openclaw/src/main.py

The oled tool already supports the following capabilities:

  • Display text text
  • Display image image
  • Display animation animation
  • Display weather card weather
  • Clear screen clear

If you just want to quickly display temperature and humidity readings on the OLED, you can also use dht_oled directly.

dht_oled  # Display temperature and humidity data to OLED
oled text --text 'Hello, World' # Display text
oled weather --location 'Shenzhen' --condition 'Sunny' --temperature '26°C' --humidity '57%' # Weather card
oled image --path ~/hardware_hal_demo/assets/oled/mountain_photo_128x32.png # Display image
oled animation --path  ~/hardware_hal_demo/assets/oled/sunrise_anim_128x32.gif # Display GIF animation
oled clear   # Clear screen

Note: For GIF and image display, you can ask AI to generate images with 128x32 resolution and place them in this path: ~/hardware_hal_demo/assets/oled/

For more commands, you can check the md documents in this folder:

xxxxxxxxxx
/home/sunrise/hardware_hal_demo/README.md

If the low-level commands can be executed normally, it means the hardware connection and communication with the RDK X5 motherboard are normal.

4. Testing OLED Display

Before starting this tutorial, please complete a basic openclaw tui conversation self-check first; if you haven't done so, see [06-Three Conversation Scheme Configuration and Testing]. After confirming that OpenClaw can respond normally, proceed to the OLED-specific test.

Enter the following command in the terminal to enter TUI:

xxxxxxxxxx
openclaw tui

image-20260527164855215

You can try entering the following content in the terminal:

  • Display "Hello, OpenClaw" on the OLED
  • Display "Start learning OLED today" on the screen
  • Clear the OLED screen
  • Display current status "System OK" on the OLED

image-20260427184231001

5. Three Schemes for Conversing with OpenClaw

SchemeSuitable ScenariosAdvantagesSuggested Positioning
WhatsAppRemote control, classroom demonstrationEasy access, suitable for multi-user experienceDemonstrate "remote natural language control"
TUILocal debugging, command verificationMost direct, easiest to troubleshootGet the control pipeline running first
Voice CodeVoice interaction, complete AI experienceClosest to real conversation experienceAs the final demonstration scheme

If you have selected the AI voice module + speaker, Feishu dialogue, tui, and WhatsApp dialogue need to broadcast the content of openclaw's reply. You can run the following program on the terminal. The AI voice module dialogue does not need to be run repeatedly

  • Modify whether to enable broadcast parameter
xxxxxxxxxx
/home/sunrise/voice_to_openclaw/.env
xxxxxxxxxx
ENABLE_TTS=true  # This parameter controls whether to broadcast. After modifying and saving, run the following program in the terminal.
  • Enter in terminal:
xxxxxxxxxx
cd ~/voice_to_openclaw
source .venv/bin/activate
python -m src.openclaw_session_tts

image-20260527162942497

5.1 WhatsApp Scheme

For WhatsApp access steps, please refer directly to [06-Three Conversation Scheme Configuration and Testing]. This section only retains conversation examples suitable for the OLED tutorial.

After creation, you can converse directly, for example:

  • Display "Welcome to OpenClaw" on the OLED
  • Help me display current temperature and humidity data on the OLED
  • Clear the OLED screen

image-20260427184519886

 

5.2 TUI Scheme

If you have completed the TUI self-check in Part 6, you can continue the conversation by entering the following command in the terminal:

xxxxxxxxxx
openclaw tui

image-20260527164855215

5.3 Voice Code Scheme

xxxxxxxxxx
Requires selection of AI voice interaction module + speaker

For voice module installation, environment configuration, and basic wake-up process, please refer directly to [05-AI Voice Interaction Configuration].

xxxxxxxxxx
cd /home/sunrise/voice_to_openclaw
source .venv/bin/activate
python -m src.main

After wake-up, you can directly speak control content, for example:

  • Display "Hello" on the OLED
  • Change the screen content to "Welcome to OpenClaw"
  • Clear the screen

image-20260427184703522

6. Comprehensive Cases

Note: The following are conversation demonstrations conducted via openclaw tui. You can also choose WhatsApp or voice methods to complete them.

6.1 Case 1: Text Display

Experiment Objective

Let the OLED display a fixed segment of text to complete the most basic screen control.

Effect Description

After receiving the instruction, OpenClaw will render the specified text on the OLED screen. This case is suitable for verifying whether text rendering, line breaks, and screen refreshing are normal.

Example Instructions

  • Display "Hello, OpenClaw" on the OLED
  • Display "Today's task is to test OLED"
  • Change the screen content to "System Ready"

6.2 Case 2: Metric Display

Experiment Objective

Let the OLED display single-line status metrics in a more compact way.

Effect Description

This mode is suitable for compressing short information such as temperature, humidity, battery level, and status values into one line for display, more like a simple dashboard reading.

Example Instructions

  • Display "Temp 26C Hum 57%" on the OLED
  • Write the current status as a short single-line display
  • Change the screen content to "CPU OK RAM OK"

6.3 Case 3: Weather Card

Experiment Objective

Let the OLED display a more complete weather information card.

Effect Description

The screen can display information such as location, weather, temperature, and humidity. This case is suitable for making weather stations, environmental monitoring, or information panels.

Example Instructions

  • Display Shenzhen sunny 26 degrees humidity 57% on the OLED
  • Make a concise weather card
  • Format the current temperature and humidity as a card style for display

6.4 Case 4: Animation Display

Experiment Objective

Let the OLED play images or animations to showcase richer visual effects.

Effect Description

In addition to static text, the OLED can also display bitmaps, GIF animations, or simple self-check animations. This case is very suitable for making boot pages, expression animations, or classroom demonstrations (you can prepare photos or GIF animations to be displayed and place them in the path /home/sunrise/hardware_hal_demo/assets/oled).

Example Instructions

  • Play a simple animation on the OLED
  • Display an icon image
  • Make a boot welcome animation

 

RGB Strip
Temperature and Humidity Sensor

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文