تجزیه و تحلیل فنی کارت ویزیت / شناخت تخته سفید بر اساس هارمونیوس 5

// Import core capability modules
import { camera, cameraPicker } from '@kit.CameraKit';   // Camera control
import { fileIo } from '@kit.CoreFileKit';               // File operations
import image from '@ohos.multimedia.image';              // Image processing
import { textRecognition } from '@kit.CoreVisionKit';    // AI vision (OCR)

async function captureImage() {
  // Create camera picker instance (rear camera)
  const pickerConfig = {
    cameraPosition: camera.CameraPosition.CAMERA_POSITION_BACK
  };

  // Execute image capture
  const result = await cameraPicker.pick(
    getContext(),
    [cameraPicker.PickerMediaType.PHOTO],
    pickerConfig
  );
  return result.resultUri;  // Return image URI
}

async function processImage(uri: string) {
  // Open image file descriptor
  const file = await fileIo.open(uri, fileIo.OpenMode.READ_ONLY);

  // Create image source
  const imageSource = image.createImageSource(file.fd);

  // Generate pixel map for OCR
  return await imageSource.createPixelMap();
}

async function performOCR(pixelMap: image.PixelMap) {
  const visionConfig: textRecognition.VisionInfo = {
    pixelMap: pixelMap
    // Optional: language: 'zh' | 'en' | ...
  };

  try {
    const result = await textRecognition.recognizeText(visionConfig);
    return result.value;  // Recognized text
  } catch (error) {
    console.error(`OCR failed: ${error.code} - ${error.message}`);
    return '';
  }
}

@Entry
@Component
struct OCRComponent {
  @State recognizedText: string = 'Awaiting recognition...';

  // Main business flow
  async onCapture() {
    const uri = await captureImage();
    const pixelMap = await processImage(uri);

    if (textRecognition.canIUse()) {
      this.recognizedText = await performOCR(pixelMap);
    } else {
      this.recognizedText = 'Text recognition not supported on this device';
    }
  }

  // UI layout
  build() {
    Column() {
      Button('Click to Recognize Text')
        .onClick(() => this.onCapture())
        .margin(20)
        .type(ButtonType.Capsule)

      Scroll() {
        Text(this.recognizedText)
          .fontSize(18)
          .textAlign(TextAlign.Start)
      }
      .height('60%')
    }
    .padding(15)
  }
}

if (textRecognition.canIUse()) {
  // Execute OCR logic
} else {
  showToast('Text recognition not supported on this device');
}

  fileIo.close(fileSource);

{
  "value": "Recognized text content",
  "confidence": 0.92,
  "textRect": { /* coordinates */ },
  "language": "zh"
}

// Full implementation with comments

import { camera, cameraPicker } from '@kit.CameraKit';
import { fileIo } from '@kit.CoreFileKit';
import image from '@ohos.multimedia.image';
import { textRecognition } from '@kit.CoreVisionKit';

@Entry
@Component
struct TextRecognition {
  @State text: string = '';

  // Main function: capture & recognize
  async openCamera() {
    const res = await cameraPicker.pick(
      getContext(),
      [cameraPicker.PickerMediaType.PHOTO],
      { cameraPosition: camera.CameraPosition.CAMERA_POSITION_BACK }
    );

    if (canIUse('SystemCapability.AI.OCR.TextRecognition')) {
      const fileSource = await fileIo.open(res.resultUri, fileIo.OpenMode.READ_ONLY);
      const imageSource = image.createImageSource(fileSource.fd);
      const pixelMap = await imageSource.createPixelMap();

      const data = await textRecognition.recognizeText({ pixelMap });
      this.text = data.value;
      fileIo.close(fileSource);
    } else {
      this.text = 'OCR not supported';
    }
  }

  // UI layout
  build() {
    Column() {
      Button('Take Photo & Recognize Text')
        .onClick(() => this.openCamera())

      Text(this.text)
        .fontSize(20)
        .margin(10)
    }
    .height('100%')
    .width('100%')
  }
}