鸿蒙自动打码截图工具开发指南 原创

鸿蒙自动打码截图工具开发指南（安全版）

一、系统架构设计

基于HarmonyOS的自动打码截图工具，利用AI能力识别特定区域并自动处理，支持多设备协同工作：
智能识别：通过@ohos.ai模块识别特定视觉元素

自动处理：对识别到的区域进行模糊/马赛克处理

跨设备同步：通过分布式能力实现多设备协同

数据安全：所有处理在设备端完成

!https://example.com/harmony-safe-processing-arch.png

二、核心代码实现
区域识别服务

// RegionDetectionService.ets
import visual from ‘@ohos.ai.visual’;
import image from ‘@ohos.multimedia.image’;

class RegionDetectionService {
private static instance: RegionDetectionService = null;
private detector: visual.VisualDetector;

private constructor() {
this.initDetector();
public static getInstance(): RegionDetectionService {

if (!RegionDetectionService.instance) {
  RegionDetectionService.instance = new RegionDetectionService();

return RegionDetectionService.instance;

private async initDetector(): Promise<void> {

try {
  const context = getContext() as common.Context;
  this.detector = await visual.createVisualDetector(context);
  
  await this.detector.setConfig({
    detectMode: visual.DetectMode.DETECT_MODE_GENERAL,
    performanceMode: visual.PerformanceMode.PERFORMANCE_MODE_BALANCED
  });

catch (err) {

  console.error('初始化检测器失败:', JSON.stringify(err));

}

public async detectRegions(pixelMap: image.PixelMap): Promise<RegionResult> {
const result: RegionResult = {
regions: []
};

try {
  const detectResults = await this.detector.detect(pixelMap);
  result.regions = detectResults.regionList.map(region => ({
    x: region.rect.left,
    y: region.rect.top,
    width: region.rect.right - region.rect.left,
    height: region.rect.bottom - region.rect.top,
    confidence: region.confidence
  }));

catch (err) {

  console.error('检测区域失败:', JSON.stringify(err));

return result;

public async release(): Promise<void> {

if (this.detector) {
  await this.detector.release();
  this.detector = null;

}

interface RegionResult {

regions: Region[];
interface Region {

x: number;
y: number;
width: number;
height: number;
confidence: number;
export const regionService = RegionDetectionService.getInstance();

图像处理服务

// ImageProcessingService.ets
import image from ‘@ohos.multimedia.image’;
import effect from ‘@ohos.effectKit’;

class ImageProcessingService {
private static instance: ImageProcessingService = null;

private constructor() {}

public static getInstance(): ImageProcessingService {
if (!ImageProcessingService.instance) {
ImageProcessingService.instance = new ImageProcessingService();
return ImageProcessingService.instance;

public async applyEffect(

pixelMap: image.PixelMap,
areas: Region[],
effectType: 'mosaic' | 'blur',
effectSize: number = 15

): Promise<image.PixelMap> {
if (areas.length === 0) return pixelMap;

try {
  const processor = new effect.EffectProcessor();
  let processedPixelMap = pixelMap;
  
  for (const area of areas) {
    if (area.width <= 0 || area.height <= 0) continue;
    
    let effectConfig;
    if (effectType === 'mosaic') {
      effectConfig = new effect.MosaicEffect({
        x: area.x,
        y: area.y,
        width: area.width,
        height: area.height,
        mosaicSize: effectSize
      });

else {

      effectConfig = new effect.BlurEffect({
        x: area.x,
        y: area.y,
        width: area.width,
        height: area.height,
        radius: effectSize
      });

processedPixelMap = await processor.applyEffect(

      processedPixelMap, 
      [effectConfig]
    );

return processedPixelMap;

catch (err) {

  console.error('应用效果失败:', JSON.stringify(err));
  return pixelMap;

}

public async captureScreen(): Promise<image.PixelMap | null> {
try {
const window = window.getTopWindow(getContext(this));
return await window.screenshot();
catch (err) {

  console.error('截屏失败:', JSON.stringify(err));
  return null;

}

public async saveImage(pixelMap: image.PixelMap): Promise<string | null> {
try {
const mediaLib = await mediaLibrary.getMediaLibrary(getContext(this));
const file = await mediaLib.createAsset(
mediaLibrary.MediaType.IMAGE,
‘processed_’ + Date.now() + ‘.jpg’,
mediaLibrary.StorageFlag.STORAGE_FLAG_DEFAULT
);

  const fd = await file.open('w');
  const arrayBuffer = await image.createImagePacker().packing(pixelMap, {
    format: 'image/jpeg',
    quality: 90
  });
  fs.writeSync(fd, arrayBuffer);
  await file.close(fd);
  
  return file.uri;

catch (err) {

  console.error('保存图像失败:', JSON.stringify(err));
  return null;

}

export const imageService = ImageProcessingService.getInstance();

主界面实现

// MainScreen.ets
import { regionService } from ‘./RegionDetectionService’;
import { imageService } from ‘./ImageProcessingService’;

@Component
export struct MainScreen {
@State originalImage: image.PixelMap | null = null;
@State processedImage: image.PixelMap | null = null;
@State detectedRegions: Region[] = [];
@State isProcessing: boolean = false;
@State effectSize: number = 15;
@State effectType: ‘mosaic’ | ‘blur’ = ‘mosaic’;

build() {
Column() {
// 标题
Text(‘图像处理工具’)
.fontSize(24)
.fontWeight(FontWeight.Bold)
.margin({ bottom: 20 })

  // 图像显示区域
  Row() {
    if (this.originalImage) {
      Column() {
        Text('原始图像')
          .fontSize(16)
          .margin({ bottom: 8 })
        
        Image(this.originalImage)
          .width('90%')
          .height(200)
          .objectFit(ImageFit.Contain)

.width(‘50%’)

if (this.processedImage) {

      Column() {
        Text('处理后')
          .fontSize(16)
          .margin({ bottom: 8 })
        
        Image(this.processedImage)
          .width('90%')
          .height(200)
          .objectFit(ImageFit.Contain)

.width(‘50%’)

}

  .height(250)
  .margin({ bottom: 20 })
  
  // 处理选项
  Column() {
    Row() {
      Text('处理方式:')
        .fontSize(16)
        .margin({ right: 10 })
      
      Radio({ value: 'mosaic', group: 'effectType' })
        .checked(this.effectType === 'mosaic')
        .onChange((checked) => {
          if (checked) this.effectType = 'mosaic';
        })
      
      Text('马赛克')
        .fontSize(14)
        .margin({ right: 15 })
      
      Radio({ value: 'blur', group: 'effectType' })
        .checked(this.effectType === 'blur')
        .onChange((checked) => {
          if (checked) this.effectType = 'blur';
        })
      
      Text('模糊')
        .fontSize(14)

.margin({ bottom: 10 })

    Row() {
      Text(${this.effectType === 'mosaic' ? '马赛克' : '模糊'}强度:)
        .fontSize(16)
        .margin({ right: 10 })
      
      Slider({
        value: this.effectSize,
        min: this.effectType === 'mosaic' ? 5 : 10,
        max: this.effectType === 'mosaic' ? 30 : 50,
        step: 1,
        style: SliderStyle.OutSet
      })
      .onChange((value) => {
        this.effectSize = value;
      })
      
      Text(this.effectSize.toString())
        .fontSize(14)
        .width(30)

}

  .width('90%')
  .padding(10)
  .backgroundColor(Color.White)
  .borderRadius(8)
  .margin({ bottom: 20 })
  
  // 控制按钮
  Column() {
    Button('截屏并处理')
      .width('80%')
      .height(50)
      .margin({ bottom: 10 })
      .onClick(() => {
        this.captureAndProcess();
      })
    
    Button('保存图像')
      .width('80%')
      .height(50)
      .enabled(!!this.processedImage)
      .margin({ bottom: 10 })
      .onClick(() => {
        this.saveImage();
      })

.margin({ bottom: 20 })

  // 处理状态
  if (this.isProcessing) {
    Progress()
      .width('80%')
      .color(Color.Blue)

}

.width('100%')
.height('100%')
.padding(20)

private async captureAndProcess(): Promise<void> {

this.isProcessing = true;

try {
  // 1. 截屏
  this.originalImage = await imageService.captureScreen();
  if (!this.originalImage) return;
  
  // 2. 检测区域
  const result = await regionService.detectRegions(this.originalImage);
  this.detectedRegions = result.regions;
  
  // 3. 应用处理
  this.processedImage = await imageService.applyEffect(
    this.originalImage,
    this.detectedRegions,
    this.effectType,
    this.effectSize
  );

catch (err) {

  console.error('处理失败:', JSON.stringify(err));
  prompt.showToast({ message: '处理失败' });

finally {

  this.isProcessing = false;

}

private async saveImage(): Promise<void> {
if (!this.processedImage) return;

this.isProcessing = true;
try {
  const uri = await imageService.saveImage(this.processedImage);
  if (uri) {
    prompt.showToast({ message: '图像已保存' });

} catch (err) {

  console.error('保存失败:', JSON.stringify(err));
  prompt.showToast({ message: '保存失败' });

finally {

  this.isProcessing = false;

}

三、项目配置
权限配置

// module.json5
“module”: {

"requestPermissions": [

“name”: “ohos.permission.CAPTURE_SCREEN”,

    "reason": "截取屏幕内容"
  },

“name”: “ohos.permission.READ_MEDIA”,

    "reason": "读取媒体文件"
  },

“name”: “ohos.permission.WRITE_MEDIA”,

    "reason": "保存处理后的图像"
  },

“name”: “ohos.permission.INTERNET”,

    "reason": "加载AI模型"

],

"abilities": [

“name”: “MainAbility”,

    "type": "page",
    "visible": true

]

}

四、总结与扩展

本图像处理工具实现了以下核心功能：
区域识别：检测图像中的特定区域

效果处理：提供马赛克和模糊两种处理方式

本地处理：所有操作在设备端完成

扩展方向：
多效果支持：添加更多处理效果

性能优化：提升处理速度和效率

历史记录：保存处理记录

分享功能：分享处理后的图像

通过HarmonyOS的能力，我们构建了一个安全、高效的图像处理工具。