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  • Product Series

    • FPGA+ARM

      • GM-3568JHF

        • Introduction

          • GM-3568JHF Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Notes
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing System Information
          • Test Commands
          • Application Compilation
          • Source Code Access
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • Serial Port
          • CAN
          • RTC
        • Application Development

          • UART Read/Write Demo
          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • GPS Debugging Demo
          • Ethernet Test Demo
          • RS485 Read/Write Demo
          • FPGA I2C Read/Write Demo
          • PN532 NFC Card-Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to Boot Auto-Start
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Services
        • Downloads

          • Downloads
      • MB-E30P

        • Introduction

          • MB-E30P Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Instructions
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing Information
          • Test Commands
          • Application Compilation
          • Source Code Acquisition
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • RTC
        • Application Development

          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • Ethernet Test Demo
          • FPGA IIC Read/Write Demo
          • PN532 NFC Card Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to the Boot Auto-Start Service
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
          • Model Conversion In Detail
          • Run Custom Models on the Board
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Service
        • Downloads

          • Downloads
    • ShimetaPi

      • M4-R1

        • Introduction

          • M4-R1 Introduction
        • Quick Start

          • OpenHarmony Overview
          • Image Burning
          • Application Development Quick Start
          • Device Development Quick Start
        • Application Development

          • ArkUI

            • ArkTS Language Overview
            • UI Components - Row Container Introduction
            • UI Components - Column Container Introduction
            • UI Components - Text Component
            • UI Components - Toggle Component
            • UI Components - Slider Component
            • UI Components - Animation Component & Transition Component
          • Documentation

            • OpenHarmony Official Materials
          • Development Notes

            • Full-SDK Replacement Tutorial
            • Introducing and Using Third-Party Libraries
            • HDC Debugging
            • Restore Factory Mode via Command Line
            • Upgrade App to System Permission
          • First App

            • Build Your First ArkTS Application - HelloWorld
          • Demos

            • Serial-Debug-Assistant Application Demo
            • Writing-Board Application Demo
            • Digital Clock Application Demo
            • Wi-Fi Information Acquisition Application Demo
        • Device Development

          • Ubuntu Development

            • Environment Setup
            • Download Source Code
            • Compile Source Code
          • DevEco Device Tool

            • Tool Introduction
            • Development Environment Construction
            • Import the SDK
            • HUAWEI DevEco Tool Function Introduction
        • Kernel Peripherals & Interfaces

          • Guide
          • Device Tree Introduction
          • NAPI Introduction
          • ArkTS Introduction
          • NAPI Development Hands-on Demo
          • GPIO Introduction
          • I2C Communication
          • SPI Communication
          • PWM Control
          • UART Communication
          • TF Card (MicroSD)
          • Screen (Display)
          • Touch
          • Ethernet
          • M.2 SSD
          • Audio
          • WIFI & BT
          • Camera
        • Downloads

          • Downloads
      • M5-R1

        • Introduction

          • M5-R1 Development Docs
        • Quick Start

          • Image Burning
          • Environment Setup
          • Download Source Code
        • Peripherals & Interfaces

          • Raspberry Pi Interfaces
          • GPIO Interface
          • I2C Interface
          • SPI Communication
          • PWM Control
          • Serial Port Communication
          • TF Card
          • Display
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI & BT
        • Downloads

          • Downloads
      • Pico-G1

        • Product Overview

          • Product Introduction
          • SDK Version Information
        • Quick Start

          • Development Environment Setup
          • Image Build
          • Image Flashing
          • System Login
          • Network Configuration
          • File Transfer
          • SDK Directory Structure
          • Deploying Your First Application
          • Deploying Your First Driver
          • Mounting an SD Card
        • Peripherals & Interfaces

          • GPIO Control
          • UART Serial Communication
          • I2C Communication
          • SPI Communication
        • MPP Media Development

          • MPP Media Processing Software
          • Image Processing Chain
          • Video Input
          • Image Encoding
        • NPU & AI

          • NPU Driver and Runtime Library Architecture
          • .xmm Model Loading
          • SVP Video Processing
          • AI Noise Reduction (AI_NR)
        • Application Samples

          • Encryption/Decryption Application
          • ADC Acquisition Application
          • Low-Power Application
          • Audio Processing Application
          • Video Encoding Application
          • Video Input Application
          • Video Graphics Subsystem (VGS) Application
          • 08 Region Overlay Application
          • 09 Intelligent Video Engine Application
          • 10 UVC Webcam Application
          • 11 All-in-One Quickstart Application
          • 12 FPN Correction Application
          • 13 Regional Motion Detection Application
          • 14 MTCNN Face Detection Application
        • Expansion Board Peripheral Examples

          • 00 - Pico Expansion Board Peripheral Examples Overview
          • 01 - OLED Display Application
          • 02 - TFT Display Application
          • 03 - MPU6050 Gyroscope Application
          • 04 - ADC Acquisition Application
          • 05 - Passive Buzzer Application
          • 06 - MQ Gas Sensor Application
          • 07 - GPS Positioning Application
          • 08 - SHT20 Temperature & Humidity Application
          • 09 - Ultrasonic Ranging Application
          • 10 - SpO2 Sensor Application
          • 11 - DC Motor Control Application
          • 12 - Servo Control Application
    • OpenHarmony

      • SC-3568HA

        • Introduction

          • SC-3568HA Overview
        • Quick Start Guide

          • OpenHarmony Overview
          • Image Flashing
          • Setting Up the Development Environment
          • Hello World Application and Deployment
        • Application Development

          • ArkUI

            • Introduction to ArkTS Language
            • Introduction to UI Components and Practical Applications (Part 1)
            • Introduction to UI Components and Practical Applications (Part 2)
            • Introduction to UI Components and Practical Applications (Part 3)
          • Expand

            • Getting Started Guide
            • Referencing and Using Third-Party Libraries
            • Application Compilation and Deployment
            • Command-Line Factory Reset
            • System Debugging -- HDC Debugging
            • APP Stability Testing
            • Chapter 7 Application Testing
        • Device Development

          • Environment Setup
          • Download Source Code
          • Compiling Source Code
        • Peripheral And Interface

          • Raspberry Pi interface
          • GPIO Interface
          • I2C Interface
          • SPI communication
          • PWM (Pulse Width Modulation) control
          • Serial port communication
          • TF Card
          • Display Screen
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI&BT
          • Raspberry Pi expansion board
        • Downloads

          • Downloads
      • M-K1HSE

        • Introduction

          • M-K1HSE Introduction
        • Quick Start

          • Development environment construction
          • Source code acquisition
          • Compilation Notes
          • Burning Guide
        • Application Development

          • Application Development Environment Setup
          • First Application - Hello World
        • Peripherals and interfaces

          • 01 Audio
          • 02 RS485
          • 03 Display
        • System customization development

          • System transplant
          • System customization
          • Driver Development
          • System Debugging
          • OTA Update
        • Downloads

          • Downloads
    • HVS Camera

      • Quick Start

        • SDK Overview
        • Downloads
        • Your First C++ Program
        • Python Data Analysis
        • MultiVision Studio
      • Development

        • Programming Guides

          • Open Camera
          • Read Events
          • Recording & Replay
          • Event Processing (Denoising)
          • Display & Visualization
          • Tuning
          • Capture APS Image
        • Toolkit SDK

          • Hybrid Vision Toolkit
          • Quick Start
          • C++ API
          • Python API
        • Algorithm

          • Hybrid Vision Algo
          • Hybrid Vision Algo API
          • Windows Algo SDK
        • Samples Overview
        • Applications
      • Fundamentals

        • Event Camera Fundamentals
        • HVS Hybrid Vision
        • Event Visualization
        • Data Formats Reference
        • Glossary
        • Bias & Tuning
        • Video Tutorials
      • USB Cameras

        • HVS Camera Quick Start
        • Networking Capabilities

          • HVS Camera System Architecture
          • EVS Network Server
          • EVS Time Sync
          • Web Window
        • HVS Camera Compatibility Matrix
        • FAQ & Troubleshooting Guide
        • Products

          • CF-NRS1 (Lingguang No.1 Hybrid Vision Camera)
      • MIPI Modules

        • MIPI Module Quick Start
        • Carrier Boards

          • RDK X5 Carrier Board Adaptation
          • Raspberry Pi Carrier Board Adaptation
          • Digua Pi Carrier Board Adaptation
          • ShimeTai Board Carrier Board Adaptation
        • MIPI Module Compatibility Matrix
        • Products

          • EVS_003 Sensor Module
    • AI-model

      • 1684XB-32T

        • Introduction

          • AIBOX-1684XB-32 Introduction
        • Quick Start

          • First Use
          • Network Configuration
          • Disk Usage
          • Memory Allocation
          • Fan Control Strategy
          • Firmware Upgrade
          • Cross Compilation
          • Model Quantization
        • Application Development

          • Development Overview

            • Sophgo SDK Development
            • Sophgo Demo Introduction
          • Large Language Models

            • Deploying Llama3 Example
            • Sophon LLM_api_server Development
            • Deploying MiniCPM-V-2_6
            • Qwen-2-5-VL Image and Video Recognition Demo
            • Qwen3-chat Demo
            • Qwen3-Qwen Agent-MCP Development
            • Qwen3-langchain-AI Agent
          • Deep Learning

            • ResNet (Image Classification)
            • LPRNet (License Plate Recognition)
            • SAM (General Image Segmentation Foundation Model)
            • YOLOv5 (Object Detection)
            • OpenPose (Human Keypoint Detection)
            • PP-OCR (Optical Character Recognition)
        • Downloads

          • Downloads
      • 1684X-416T

        • Introduction

          • AIBOX-1684X-416 Introduction
        • Demo Quick Guide

          • ShimeTai Intelligent Monitoring Demo Quick Usage Guide
      • RDK-X5

        • Introduction

          • RDK-X5 Hardware Introduction
        • Quick Start

          • RDK-X5 Quick Start
        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Color Recognition
            • Experiment 03 - Gesture Recognition
            • Experiment 04 - YOLOv5 Object Detection
      • RDK-S100

        • Introduction

          • RDK-S100 Hardware Introduction
        • Quick Start

          • RDK-S100 Quick Start
        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Image Processing Basics
            • Experiment 03 - Object Detection
            • Experiment 04 - Image Segmentation
      • RK1828

        • Introduction

          • M5-182X-A1 AI Edge Box - Product Introduction
          • M5-182X-A1 Hardware Specifications
          • M5-182X-A1 Usage & Safety
        • Quick Start

          • M5-182X-A1 Image Flashing
          • RK182X Hardware Installation & Verification
          • RK182X Development Environment Quick Setup
          • RK182X SDK Overview
          • RK182X Environment Setup in Detail
          • RK182X Quick Start
          • Vendor SDK Data Extraction Record
        • Development Guide

          • ClawChips Architecture and Principles
          • SKILL User Manual
          • RK182X Series LLM Inference (RK1828 Model)
          • RK182X Series CNN Inference (RK1828 Model)
          • Model Conversion
          • RK182X AI Agent Application Development Guide
          • RK182X Industrial Anomaly Detection Application
        • SDK Reference

          • RKNN3-SDK Overview

            • RKNN3 SDK Overview
          • RKNN3-Toolkit

            • RKNN3 Toolkit Installation and Usage
          • RKLLM

            • RKLLM On-Device LLM Inference
          • RK182X Series NPU Overview and Architecture (RK1828 Model)
          • RK182X INT8 Quantized Inference Deployment
          • RK182X MPP Multimedia Framework
          • MPP Details

            • RK182X Video Decoding
            • RK182X Video Encoding
          • NPU Details

            • RKNN Model Conversion
            • RK182X NPU INT8 Quantized Inference
            • RK182X Multi-Model Parallel Inference
          • RGA Details

            • RK182X RGA 2D Graphics Acceleration
          • VPU Details

            • RK182X VPU Codec
        • Hardware Reference

          • RK182X Series Hardware Architecture Overview (RK1828 Model)
          • RK182X Pin Definitions and Multiplexing Configuration
          • RK182X Pin Definitions
          • RK182X Power Management
          • RK182X Clock and PLL Configuration
          • RK182X Clock and Frequency Configuration
        • Tutorials

          • Hello World
          • Hello RK1828 - The First Program
          • RTSP Streaming
          • RTSP Streaming + AI Analysis
          • ShiMetaPi AI Lobster One-Click Deployment
          • PaddleOCR-VL Text Recognition
          • Qwen3-1.7B LLM Text Chat
          • AI Multi-View Inspection (Qwen3-VL Wrapper)
          • YOLOv5 Object Detection
        • Downloads

          • Downloads
        • FAQ

          • FAQ
    • Core-Board

      • C-3568BQ

        • Introduction

          • C-3568BQ Overview
      • C-3588LQ

        • Introduction

          • C-3588LQ Overview
      • GC-3568JBAF

        • Introduction

          • GC-3568JBAF Overview
      • C-K1BA

        • Introduction

          • C-K1BA Overview
    • Software Platform

      • ShiMetaPi Workbench

        • Introduction

          • Product Overview
          • Core Architecture
          • Feature Entries
          • Supported Hardware
          • Release Notes
        • Quick Start

          • Install & Login
          • Connect the Device
          • Set Up the Environment
          • Connect to AIHub
          • First Inference
        • User Guide

          • Workspace Overview
          • Device Manager
          • Model Market
          • One-Click Deploy
          • Vision — SVP
          • Vision - Custom Models
          • shimeta-py IDE
          • Terminal
          • Agent Debug Assistant
          • Settings and Resources
        • FAQ

          • Installation & Login
          • Device Connection
          • Models & Deployment
          • Vision & Runtime
          • Settings & Other
      • ShimetaPi Repository

        • Introduction

          • ShimetaPi Software Repository
        • Pico G1 (GK7206)

          • Quick Start

            • Installation & First Inference
            • shimeta_infer — Image Inference
            • shimeta_camera — Real-time Camera Inference
            • SVP Scene Detection
            • File Transfer & Built-in Model Reference
            • FAQ
          • HTTP API & Python SDK

            • HTTP API Reference
      • Model Fine-tuning Platform

        • Introduction

          • Model Training Platform
        • Quick Start

          • Register & Login
          • Create Your First Model (30-Minute Quick Experience)
        • Training Guide

          • Data Preparation & Annotation
          • Training Parameter Configuration
          • Start & Monitor Training
          • Model Evaluation & Testing
        • Model Deployment

          • Export Model
          • Deploy to Edge Device

Guide

1 Audience of This Tutorial

With more and more developers joining and major domestic technology companies improving the ecosystem, OpenHarmony has gradually become popular in the embedded field in recent years. However, there are still relatively few systematic OpenHarmony tutorials in China, and excellent open-source tutorials for beginners are even rarer. This is exactly the reason why our company's open-source department chose to produce this tutorial — to contribute our share to the construction of open-source OpenHarmony.

We mainly target students and embedded enthusiasts with zero foundation or with MCU experience. We focus on getting started, introducing the basic principles of peripherals and interfaces and driving them by writing sample code. From software installation to system compilation, there are detailed teaching documents. In addition, we will subsequently release companion video tutorials on platforms such as Bilibili. All materials are fully open source. Materials and tutorials are still being continuously improved, so please keep paying attention to updates...

2 Concepts and Differences between OpenHarmony and Linux

2.1 Embedded Linux Introduction

Embedded Linux is an operating system that tailors and optimizes the standard Linux kernel for resource-constrained embedded devices. The core components and their corresponding functions are shown in the table below:

ComponentFunction
Linux KernelProvides process management, memory management, driver support (such as GPIO, I2C).
BusyBoxA lightweight toolset integrating common command-line tools (ls, cp)
File SystemYAFFS2/JFFS2 (Flash storage), EXT4 (eMMC/SD card).
Cross-Compilation ToolSuch as arm-linux-gnueabi-gcc.

The kernel adopts a modular design and can dynamically load drivers through device-tree files. And with the development of embedded systems in recent years, the Linux kernel's driver support for various hardware peripherals (such as Wi-Fi, screens, cameras, etc.) has become very complete; you can develop very conveniently after becoming familiar with the Linux development framework.

2.2 OpenHarmony Introduction

OpenHarmony is a distributed operating system operated by the OpenAtom Foundation. It is designed for the Internet of Everything and supports devices with memory from KB level to GB level. It adopts a layered design.

LayerFunctionComponent Example
Kernel LayerMulti-kernel supportLiteOS-M (microkernel), Linux kernel
System Service LayerDistributed capabilityDistributed softbus, device virtualization
Framework LayerDevelopment interfaceArkUI declarative UI, Ability framework
Application LayerCross-device deploymentDevelop once, run on multiple ends

Because it supports multiple kernels, when developing, the system can be elastically deployed according to the device. Officially recommended: for systems with RAM < 128KB (the level of the STM32F4 series MCU), choose the lightweight system with the LiteOS-M kernel. For devices with RAM > 128MB, the standard system with the Linux kernel is recommended.

2.3 Differences between OpenHarmony and Linux

For those who have directly understood embedded Linux, you should know that its application development uses the traditional C/C++ language, the UI framework is mostly developed with Qt, and application development requires cross-compilation to compile binary applications for different hardware platforms. Native device interconnection is not supported and requires manual configuration by the developer (manually configured via MQTT protocol, etc.).

In terms of development goals, OpenHarmony is mainly oriented toward multi-device collaboration. On one hand, due to its multi-kernel feature, it can be deployed on systems with limited resources. On the other hand, it natively supports device interconnection. HUAWEI has also designed for it a UI design framework — ArkUI — that can adapt layouts across devices, and HAP applications written with the OpenHarmony development framework can automatically adapt to different devices. A brief summary for you:

FeatureEmbedded LinuxOpenHarmony
Kernel SelectionLinuxLiteOS-M / Linux
Development LanguageC/C++ArkTS (front-end), C/C++ (low-level)
Design GoalHigh performance and stability for a single deviceMulti-device coordination and interconnection
UI FrameworkQt/LVGL, etc. (manually adapt to screen)ArkUI (cross-device adaptive layout)
Application DevelopmentNeed to compile binary executables for different hardwareHAP format (automatically adapt to different devices)
Device InterconnectionManual configuration (using MQTT protocol, etc.)Natively supported (softbus auto-discovery)
Development PhilosophyOne system per deviceDevelop once, deploy on multiple ends

Embedded Linux, after years of development, already has a complete ecosystem, but its device-performance requirements are higher (1GB+ RAM). As a rising star, OpenHarmony is mainly oriented toward device interconnection and low-cost deployment, but at this stage the major-version updates are too fast — an average of once every 2 months — and high versions generally do not support backward compatibility. APIs may change at any time and are not as stable as Linux.

3 OpenHarmony Development Directions

At present, OpenHarmony development is divided into two major directions. Officially called southbound development and northbound development, this section will introduce them separately.

3.1 Southbound Development (Low-Level Hardware Adaptation)

Core Tasks

  • Hardware driver development: write OpenHarmony-specific drivers for chips, sensors, and peripherals (cameras/screens) (based on the HDF framework).
  • Kernel porting: adapt the LiteOS or Linux kernel to different hardware platforms (such as ARM Cortex-M/RISC-V).

Tech Stack

  • System kernel: kernel source code, task-scheduling mechanism, memory management, etc.
  • Driver development: Device Tree (DTS) configuration, HDF driver model
  • Communication protocols: CAN, SPI, SDIO and other bus drivers, Wi-Fi/BT protocol stack...

3.2 Northbound Development (Upper-Layer Application Development)

Core Tasks

  • Application function implementation: use ArkTS to develop cross-device applications (such as a smart-home control center).
  • Distributed capability integration: call the softbus to achieve device collaboration (such as a phone controlling a TV to play).
  • UI/UX design: use declarative ArkUI to implement adaptive layouts (multi-end adaptation for phones/watches/TVs).
  • Performance optimization: ensure the application runs smoothly on low-end devices (such as smart watches).

Tech Stack

  • Development language: ArkTS (TypeScript superset), JavaScript
  • UI framework: ArkUI declarative syntax, componentized development
  • Distributed capabilities: device discovery (DeviceManager), cross-device invocation (RPC), distributed data management (DataObject)
  • Toolchain: DevEco Studio (IDE), hdc debugging tool, etc.

4 Development Method Used in This Tutorial

When you open this tutorial, the section titles you see should be Application Development and Device Development rather than the southbound and northbound mentioned in the previous section. The relationship between these four development directions should be as shown in the figure below:

Development Direction Choice

Our tutorial targets Device Development, positioning the full-process development of hardware devices, including both southbound and northbound.

First, we will introduce the basic principles of the peripherals used. After giving everyone an understanding of the peripherals, we will introduce the corresponding peripheral interfaces on the board. Then we test the peripheral drivers through the command-line approach. By explaining the device tree and the pre-installed test commands in the kernel, we incidentally learn some tools and commands commonly used in embedded Linux. After successfully testing the peripherals, we will introduce how to develop your own APIs through NAPI under the OpenHarmony framework, and based on these APIs, write application programs and create basic applications based on common peripherals to get you started.

Some friends may have a question: the system pre-installed on our board is obviously OpenHarmony, so why can we develop in a command-line way just like Linux? That is because the main control chip RK3568 used in this tutorial is powerful enough, so the system we use is a standard system based on the Linux kernel. At this point, the OpenHarmony used is an upper-layer operating system built on top of the Linux kernel, so naturally we can call the interfaces that the Linux kernel provides to user space. We can use the command line for development and testing by connecting to the development board through the HDC debugging tool.

Tutorial Development Approach

Finally, a brief description of the NAPI development method (the next-version tutorial will cover it in detail later):

On OpenHarmony, Node-API (often abbreviated NAPI) is a native-module development mechanism extended from the Node-API specification based on Node.js 12.x LTS. It provides stable, cross-platform interaction capabilities between ArkTS/JS and C/C++ modules.

The core flow can be summarized as:

  1. Implement native methods on the C/C++ side and perform NAPI module registration;

  2. Configure CMake/build to compile it into a shared library (so);

  3. Provide type declarations (.d.ts) for the ArkTS side (for type hints and compilation);

  4. import this native module on the ArkTS/ETS side and call the exported methods;

  5. At initialization, the import triggers module registration and exported-object construction;

  6. Runtime calls are forwarded to the corresponding C/C++ implementation through the exported object.

5 Rockchip RK3568 Introduction

The SOC used on our M4-R1 board is the RK3568 from Rockchip Electronics.

RK3568 Chip Image

Main Features

  • Quad-core Cortex-A55 up to 2.0GHz
  • Mali-G52 GPU
  • 1TOPS NPU
  • LPDDR4/LPDDR4X/DDR4/DDR3/DDR3L/LPDDR3, ECC
  • 4KP60 H.265/H.264/VP9 video decoder
  • 1080P60 H.264/H.265 video encoder
  • 8M ISP with HDR
  • Dual dislplay, LVDS/MIPI-DSI/RGB/eDp/RGB/HDMI2.0/EBC
  • 1x8ch I2S/TDM, 1x8ch PDM, 2x2ch I2S
  • USB3.0 x2/SATA3.0 x3/PCIE2.1/QSGMII,PCIE3.0 1x2Lanes/2x1Lane
Detailed Parameters
CPU• Quad-core 64-bit Cortex-A55, up to 2.0GHz
• ARM G52 2EE
GPU• Supports OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1
• Embedded high-performance 2D acceleration hardware
NPU• Supports 1T computing power
Multimedia• Supports 4K 60fps H.265/H.264/VP9 video decoding
• Supports 1080P 60fps H.265/H.264 video encoding
• Supports 8M ISP, supports HDR
Display• Supports multi-screen heterogeneous display
• Supports eDp/HDMI2.0/MIPI/LVDS/24bit RGB/EBC
Interface• Supports USB2.0/USB3.0/PCIE3.0/PCIE2.1/SATA3.0/QSGMII

(The above data is from the Rockchip official website product center: https://www.rock-chips.com/a/cn/product/RK35xilie/2021/0113/1275.html)

The RK3568 SOC, with its impressive computing power, supports OpenHarmony certification. Its adaptation for open-source OpenHarmony is relatively complete, and it has rich peripheral resources, making it the best choice for learning the OpenHarmony standard system!

6 Learning Material Recommendations

6.1 Official Documentation

  • OpenHarmony official documentation: https://www.openharmony.cn/docs/zh-cn/overview

6.2 Development Materials

Since Rockchip does not provide datasheets and SDKs on its official website, these materials can be found in the Baidu Netdisk link "05-Development Materials" we provide for you:

Tip

Download link: https://pan.baidu.com/s/1URTm7_dVX_xuG5UlyQQNlA?pwd=83ui

Extraction code: 83ui

Materials path: 01-Development Materials (Baidu Netdisk) -> 05-Development Materials

Tip

All materials and tutorials are still being continuously improved. Please keep paying attention to updates.

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Device Tree Introduction