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    • FPGA+ARM

      • GM-3568JHF

        • Introduction

          • GM-3568JHF Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Notes
          • Flashing Guide
          • Debugging Tools
          • Software Update
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        • Peripherals & Interfaces

          • USB
          • Display and Touch
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          • TF-Card
          • Audio
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        • 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
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          • Source Code Acquisition
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
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          • Audio
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        • 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

Touch

1 Touch Introduction

1.1 Touch Screen Introduction

Touch screens have been around for a long time. Early on, they were resistive touch screens, which only supported single-point touch and were widely used in the era of learning machines and feature phones. On January 9, 2007, Apple released the groundbreaking first-generation iPhone, the iPhone 2G, which used a multi-point capacitive touch screen, while most phones at the time still used resistive touch screens. The excellent touch quality and feel of capacitive touch screens instantly won over consumers and brought about a major transformation in phone touch screens. New phones released afterwards all adopted multi-point capacitive touch screens.

Comparison of capacitive and resistive touch screens:

  • Multi-point touch support: the biggest advantage of capacitive touch screens is multi-point touch support (later resistive screens also supported multi-point touch, but it was too late)
  • Touch sensitivity: a capacitive screen only needs a light touch with a finger, while a resistive screen requires a certain amount of pressure from a finger to respond
  • Calibration requirement: capacitive screens do not need calibration and are more convenient to use

Nowadays, multi-point capacitive touch screens are widely used in phones, tablets, computers, advertising machines, and more. If you want to develop human-machine interaction devices, multi-point capacitive touch screens are basically unavoidable. Therefore, in this chapter we will learn how to use a multi-point touch screen and how to obtain multi-point touch values. We will not study the physical principles of capacitive screens — after all, we are not developing capacitive screens but using them. We only need to focus on how to use capacitive screens and how to obtain their multi-point touch coordinate values.

Composition of a touch screen:

A screen is actually a combination of a display panel and a touch screen. The display panel is on the bottom, and the touch panel is on top. Packaging the two together creates a screen with a touch screen. A capacitive touch screen also needs a driver IC. The driver IC generally provides an I2C interface to the main controller, and the main controller can read the touch coordinate data inside the driver IC through the I2C interface.

Note: The M4-R1 development board is equipped with one group of I2C touch interfaces. The currently adapted drivers include gt911, FT5X06, FT5406, etc. Unlike the drivers from the Linux kernel mentioned earlier, this driver is a driver under the HDF framework. Users can see the supported touch ICs at the path /drivers/hdf_core/framework/model/input/driver/touchscreen/.

1.2 Introduction to the Linux input Subsystem

"input" means input, so the input subsystem is the subsystem that manages input. It is a framework created by the Linux kernel for a certain class of devices. For example, button input, keyboards, mice, touch screens, etc. all belong to input devices. Different input devices have different meanings — buttons and keyboards represent key information, while mice and touch screens represent coordinate information, so the handling at the application layer is different.

input subsystem architecture:

  • input driver layer: responsible for the driver implementation of specific hardware devices
  • input core layer: provides unified interfaces and management mechanisms
  • input event handling layer: handles and distributes input events

Ultimately, it provides accessible device nodes to user space. The input subsystem framework is shown in the following figure:

input Subsystem Framework

For application development, we only need to care about the data the kernel space sends to user space.

2 I2C Touch Board Interface

I2C Touch Board Interface

3 Touch Screen Usage — Command-Line Method

3.1 Device Tree Analysis

Tips

The file path below: out/kernel/src_tmp/linux-5.10/arch/arm64/boot/dts/rockchip/ requires the kernel source to be compiled first.

Below is a brief analysis of the description of the touch screen controller node mounted on the I2C1 bus.

Warning

There are two touch screen controllers both mounted on the SoC's I2C1 bus. Below we use the GT911 touch IC node from Goodix, which is equipped on the test screen, as an example for introduction.

First, the base definition layer (rk3568.dtsi):

i2c1: i2c@fe5a0000 {
    compatible = "rockchip,rk3399-i2c";
    reg = <0x0 0xfe5a0000 0x0 0x1000>;
    clocks = <&cru CLK_I2C1>, <&cru PCLK_I2C1>;
    clock-names = "i2c", "pclk";
    interrupts = <GIC_SPI 47 IRQ_TYPE_LEVEL_HIGH>;
    pinctrl-names = "default";
    pinctrl-0 = <&i2c1_xfer>;
    #address-cells = <1>;
    #size-cells = <0>;
    status = "disabled";
};

The base definition device tree source file provided by Rockchip does not provide a direct I2C touch controller node description; instead it provides a generic I2C controller node description on the I2C bus. The reason is simple: to prevent the device tree from being verbose and long-winded, which is exactly the original intention of using a device tree. Below is a brief analysis of the i2c1 node.

  • compatible: specifies compatibility, supports the RK3399 I2C controller
  • reg: register address range (0xfe5a0000-0xfe5a0fff)
  • interrupts: interrupt number 47, triggered on high level
  • clocks: I2C function clock (CLK_I2C1) and APB clock (PCLK_I2C1)
  • pinctrl-0: defaults to the i2c1_xfer pin group
  • status: disabled by default

Below is the pin configuration layer (rk3568-pinctrl.dtsi)

i2c1_xfer: i2c1-xfer {
    rockchip,pins =
        /* i2c1_scl */
        <0 RK_PB3 1 &pcfg_pull_none_smt>,
        /* i2c1_sda */
        <0 RK_PB4 1 &pcfg_pull_none_smt>;
};
..............

touch_gpio: touch-gpio {
    rockchip,pins =
        /* 中断引脚 */
        <0 RK_PB5 RK_FUNC_GPIO &pcfg_pull_up>,
        /* 复位引脚 */
        <0 RK_PB6 RK_FUNC_GPIO &pcfg_pull_none>;
};

The above two nodes are the pin configuration nodes for the I2C1 bus and the touch chip, respectively corresponding to the SCL and SDA pins of I2C1, as well as the interrupt pin and reset pin of the touch chip.

  • i2c1_xfer: I2C1 bus pins, uses GPIO0_B3 as SCL and GPIO0_B4 as SDA
  • touch_gpio: touch chip control pins, GPIO0_B5 as interrupt pin (pull-up), GPIO0_B6 as reset pin

Finally, the board-level configuration layer (rk3568-toybrick.dtsi):

&i2c1 {
    status = "okay";

    gt9xx: gt9xx@5d {
        compatible = "goodix,gt9xx";
        status = "okay";
        reg = <0x5d>;
        reset-gpio = <&gpio0 RK_PB6 GPIO_ACTIVE_HIGH>;
        touch-gpio = <&gpio0 RK_PB5 IRQ_TYPE_LEVEL_LOW>;
        max-x = <7200>;
        max-y = <1280>;
        tp-size = <911>;
        pinctrl-names = "default";
        pinctrl-0 = <&touch_gpio>;
        power-supply = <&vcc3v3_lcd0_n>;
    };
};

This node is used to set the parameters of the touch screen, such as maximum coordinates and number of touch points. The details are as follows:

  • &i2c1: references the i2c1 node in the base definition
  • status = "okay": enables the I2C1 controller and the gt9xx touch chip
  • reg = <0x5d>: the I2C slave device address of the gt911 chip is 0x5d
  • reset-gpio: reset pin uses GPIO0_B6, active high
  • touch-gpio: interrupt pin uses GPIO0_B5, triggered on low level
  • max-x/max-y: touch screen resolution 7200x1280
  • tp-size = <911>: specifies the touch chip model as gt911
  • power-supply: power supply comes from vcc3v3_lcd0_n

3.2 Application-Layer Method for Testing Touch-Related Devices

A touch screen belongs to input subsystem devices. The input subsystem is a unified driver framework provided by Linux for input devices. Input devices such as buttons, keyboards, touch screens, and mice are driven in a similar way. Input devices driven by the input subsystem can be submitted to the kernel through a unified data structure, which includes the time, type, code, and specific key value or coordinates of the input. The kernel passes it to user space through the file interface under the /dev/input directory.

getevent debug tool:

input sub-devices can use the getevent command to obtain the events reported by the device to the system:

  • getevent is a debug tool under Android/Linux systems
  • It is used to listen to and display the raw input events generated by the kernel input subsystem
  • You can see the lowest-level, unprocessed hardware input signals

The getevent command is built into the board, and you can use it to debug whether the touch screen is working properly.

In the /dev/input directory, use the command:

getevent

You can obtain all input sub-devices and listen to the events reported by all devices. Event format parsing:

The returned event format: device: type code value

Event type table:

Type CodeEvent TypeDescription
0000EV_SYNSynchronization event
0001EV_KEYKey event
0003EV_ABSAbsolute coordinate event (touch screen)

Event code table:

CodeNameDescription
0035ABS_MT_POSITION_XX coordinate
0036ABS_MT_POSITION_YY coordinate
0039ABS_MT_TRACKING_IDTouch point ID
0000SYN_REPORTReport synchronization
0002SYN_MT_REPORTMulti-touch report

Event value description:

Value TypeMeaning
CoordinateHex coordinate
00000000New touch point start
ffffffffTouch point end
00000001Key press
00000000Key release

Listening to a specific device:

If you want to listen to a specific sub-device and the event types it reports, use the command:

getevent -l /dev/input/event*

It will provide real-time feedback of hex coordinate information (x, y), touch point ID, and synchronization events. Below we explain the event types and event codes.

Linux input event types:

Event TypeFunctionTypical Application
EV_KEYKey eventPower key, volume key
EV_ABSAbsolute coord eventTouch screen, game joystick
EV_RELRelative coord eventMouse movement, scroll wheel
EV_SYNSynchronization eventEnd-of-frame marker
EV_MSCMiscellaneous eventOther types of events
EV_SWSwitch eventLid open/close, headphone plug/unplug

Common touch screen event codes:

Code NameFunctionDescription
ABS_MT_TRACKING_IDTouch point IDPositive = new touch, ffffffff = touch end
ABS_MT_POSITION_XX coordinateHorizontal coordinate of the touch point
ABS_MT_POSITION_YY coordinateVertical coordinate of the touch point
ABS_MT_PRESSUREPressureMagnitude of touch pressure
ABS_MT_TOUCH_MAJORTouch areaSize of the contact area

3.3 Functional Demonstration

3.3.1 View Input Devices

First, enter the directory /dev/input/. You can see several input events:

Input Device List

3.3.2 Identify the Touch Screen Device

Use the command getevent to view the input device corresponding to the input events:

getevent Device Recognition

Obviously, the device whose name is "touchscreen" is our touch screen.

3.3.3 Listen to Touch Events

With the screen lit, click on the screen to view the corresponding touch events in the terminal:

Raw Touch Events

3.3.4 More Readable Event Display

We use the more readable command getevent -l /dev/input/event* to test again. After clicking the screen, the screen returns the following information:

Readable Touch Events
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