React Native Vision SDK

VisionSDK provides a simple and efficient way to detect barcodes and QR codes in both manual and automatic capturing modes. It also includes AI capabilities to extract information from logistic documents.

Some key features of the VisionSDK Integration include:

• Barcode and QR code scanning
• Focus on a specific area of camera preview
• Document detection
• Capturing of image
• Information extraction from logistic documents (via both local ML models (offline) and REST API)
  • Shipping Label
  • Bill of Lading
  • Price Tag (under progress)

Installation

Install the Vision SDK for React Native using either npm or yarn:

npm install --save react-native-vision-sdk
# or
yarn add react-native-vision-sdk

Manual Installation

iOS

1. Open your ios/Podfile and add the following line to ensure compatibility:

   platform :ios, '16.0'  # Vision SDK requires at least iOS 15.0 or higher
   pod 'VisionSDK', "1.4.8"
   

2. Run pod install to install necessary dependencies.

iOS Development Requirements:

• iOS: 15.0+
• Swift: 5.7
• Xcode: 13.0 or newer

Android

Edit your android/build.gradle file to set the minSdkVersion to 29 or higher:

buildscript {
  ext {
    buildToolsVersion = "35.0.0"
    minSdkVersion = 29  // Minimum version required by Vision SDK
    compileSdkVersion = 35
    targetSdkVersion = 35
    ndkVersion = "26.1.10909125"
    kotlinVersion = "2.0.20"
  }
}

Android Setup

In the build.gradle file of your Android project, add the following dependencies for Android integration:

dependencies {
    // Existing dependencies
    implementation 'com.github.packagexlabs:vision-sdk-android:v2.0.20'
    implementation 'com.github.asadullahilyas:HandyUtils:1.1.0'
}

After making these changes, sync the project to download the necessary libraries.

---

Permissions

To use the camera,

Android

Add the following permission to AndroidManifest.xml:

iOS

Update Info.plist with a usage description for the camera:

NSCameraUsageDescription
Your description of the purpose for camera access

---

Basic Usage Example

Here’s an example of setting up the Vision SDK for barcode scanning in React Native.

import React, { useEffect, useRef, useState } from 'react';
import VisionSdkView, { VisionSdkRefProps } from 'react-native-vision-sdk';
const ScannerView = () => {
  const visionSdk = useRef(null);

  // Configure Vision SDK settings
  useEffect(() => {
    visionSdk?.current?.setFocusSettings({
      shouldDisplayFocusImage: true,
      shouldScanInFocusImageRect: true,
      showCodeBoundariesInMultipleScan: true,
      validCodeBoundaryBorderColor: '#2abd51',
      validCodeBoundaryBorderWidth: 2,
      validCodeBoundaryFillColor: '#2abd51',
      inValidCodeBoundaryBorderColor: '#cc0829',
      inValidCodeBoundaryBorderWidth: 2,
      inValidCodeBoundaryFillColor: '#cc0829',
      showDocumentBoundaries: true,
      documentBoundaryBorderColor: '#241616',
      documentBoundaryFillColor: '#e3000080',
      focusImageTintColor: '#ffffff',
      focusImageHighlightedColor: '#e30000',
    });
    visionSdk?.current?.setObjectDetectionSettings({
      isTextIndicationOn: true,
      isBarCodeOrQRCodeIndicationOn: true,
      isDocumentIndicationOn: true,
      codeDetectionConfidence: 0.5,
      documentDetectionConfidence: 0.5,
      secondsToWaitBeforeDocumentCapture: 2.0,
    });
    visionSdk?.current?.setCameraSettings({
      nthFrameToProcess: 10,
    });
    visionSdk?.current?.startRunningHandler();
  }, []);


  return (
     {
        console.log('onDetected', event);
        setDetectedData(event);
      }}
      onBarcodeScan={(event) => {
        console.log('onBarcodeScan', event);
        visionSdk.current?.restartScanningHandler();
      }}
      onError={(error) => {
        console.log('onError', error);
      }}
    />
  );
};

SDK Methods

Camera Controls

1. Start Camera: This method start camera session and scanning.

   visionSdk.current.startRunningHandler();
   

2. Restart Scanning: This method restart scanning after every scan.

   visionSdk.current.restartScanningHandler();
   

3. Stop Camera: This method stops camera session and scanning.

   visionSdk.current.stopRunningHandler();
   

4. Capture Image (manual mode only): Capture an image.

   visionSdk.current.cameraCaptureHandler();
   

---

Configuration Methods

Set Focus Settings (Optional)

You can customize camera focus settings.

visionSdk?.current?.setFocusSettings({
  shouldDisplayFocusImage: true,
  shouldScanInFocusImageRect: true,
  showCodeBoundariesInMultipleScan: true,
  validCodeBoundaryBorderColor: '#2abd51',
  validCodeBoundaryBorderWidth: 2,
  validCodeBoundaryFillColor: '#2abd51',
  inValidCodeBoundaryBorderColor: '#cc0829',
  inValidCodeBoundaryBorderWidth: 2,
  inValidCodeBoundaryFillColor: '#cc0829',
  showDocumentBoundaries: true,
  documentBoundaryBorderColor: '#241616',
  documentBoundaryFillColor: '#e3000080',
  focusImageTintColor: '#ffffff',
  focusImageHighlightedColor: '#e30000',
});

Set Object Detection Settings (Optional)

You can customize object detection indications to avoid extra processing.

visionSdk?.current?.setObjectDetectionSettings({
  isTextIndicationOn: true,
  isBarCodeOrQRCodeIndicationOn: true,
  isDocumentIndicationOn: true,
  codeDetectionConfidence: 0.5,
  documentDetectionConfidence: 0.5,
  secondsToWaitBeforeDocumentCapture: 2.0,
});

Set Camera Settings (Optional)

You can customize frames processing by setting N number that will process every Nth frame.

visionSdk?.current?.setCameraSettings({
  nthFrameToProcess: 10,
});

Configure On-Device Model

Configure on-device model by passing model type and model size in configureOnDeviceModel method, starts model configuration.

visionSdk.current.configureOnDeviceModel({
  type: 'shipping_label',
  size: 'large',
});

Prediction Methods

The SDK offers several prediction methods categorized based on the type of processing:

---

on-device

The methods in this category use on-device processing, allowing for fast, offline analysis of images and barcodes, suitable for situations without internet access.

getPrediction

This method uses an on-device model to perform predictions on the provided image and barcode data, ensuring fast, private processing.

/**
 * This method uses an on-device model to get a prediction based on the provided image and barcode data.
 * @param image The image to be analyzed.
 * @param barcode An array of barcode values to analyze alongside the image.
 */
visionSdk.current.getPrediction(image, barcode);

---

on-device-with-translation

Methods in this category use on-device models combined with synchronized cloud transformations, which enhance the prediction accuracy and add more context to the results.

getPredictionWithCloudTransformations

This method uses an on-device model with synchronized cloud transformations for more comprehensive and detailed analysis.

/**
 * This method uses an on-device model with synchronized cloud transformations to get a prediction.
 * @param image The image to be analyzed.
 * @param barcode An array of barcode values to analyze alongside the image.
 */
visionSdk.current.getPredictionWithCloudTransformations(image, barcode);

---

cloud

The methods in this category use cloud processing, which is ideal for complex analyses requiring more computational power or enhanced data resources.

getPredictionShippingLabelCloud

This method uses cloud processing to analyze a shipping label image and any associated barcodes.

/**
 * This method uses cloud processing to get a prediction for a shipping label.
 * @param image The image of the shipping label.
 * @param barcode Array of barcode strings associated with the shipping label.
 */
visionSdk.current.getPredictionShippingLabelCloud(image, barcode);

---

bill-of-lading

The methods in this section are optimized specifically for Bill of Lading documents and use cloud processing tailored to the document’s requirements.

getPredictionBillOfLadingCloud

This method applies cloud processing to analyze Bill of Lading images and associated barcodes, providing data relevant to logistics and shipping.

/**
 * This method uses cloud processing to get a prediction for a Bill of Lading.
 * @param image The image of the Bill of Lading.
 * @param barcode Array of barcode strings.
 * @param withImageResizing Whether to resize the image (default: true).
 */
visionSdk.current.getPredictionBillOfLadingCloud(
  image,
  barcode,
  withImageResizing
);

Configuration

Use the VisionSdkView component to configure and manage Vision SDK’s features.

Props

Prop	Type	Description
ref	Function	Catch the reference of the component to manipulate modes or to access callback functions.
mode	string: (ocr, barcode, qrcode, barCodeOrQrCode, photo)	Default mode is ‘barcode’, you can either use other like ocr, qrcode, photo.
captureMode	string: (manual, auto)	Default captureMode is ‘manual’, you can either use ‘auto’.
apiKey	string	In order to use the OCR API/MODEL, You must set your API key or either an Auth token..
token	string	In order to use the OCR API/MODEL, You must set your API key or either an Auth token.
environment	string: (sandbox, prod)	If you are using OCR mode then you can set your development environment. (Default env is prod)
ocrMode	string: (cloud, on-device, on-device-with-translation)	ocrMode defines whether you want to scan using cloud API, on-Device Model or on-Device Model with response translation
isMultipleScanEnabled	boolean: (true, false)	You can enable or disable multiple scan mode by using this prop. (Default value is false)
flash	boolean: (true, false)	You can turn ON/OFF camera flash by using this prop. (Default value is false)
zoomLevel	number: (1 to 5)	You can set the Zoom value. Zoom value is device dependent. It will be vary between 1 to 5.
locationId	string: (ex# loc_2rpHXFf6ith)	By default your location will get from apiKey or either you can set location id.
options	Object: {x: number, y: string}	Option contains different other optional parameters you can provide along with the image.
onDetected	function	Callback for detection events.
onBarcodeScan	function	Callback when a barcode is scanned.
onOCRScan	function	Callback for OCR events.
onImageCaptured	function	Callback for image capture events.
onModelDownloadProgress	function	Event to monitor model download progress.
onError	function	Callback for handling errors.

---

Event Handlers

The Vision SDK provides several event handlers to handle different types of responses from the SDK. Here is an explanation of each:

1. onDetected

Triggered when any target (barcode, document, QR code, etc.) is detected.

• Response:

  { "barcode": false, "document": false, "qrcode": false, "text": false }
  

  • barcode, document, qrcode, text: Indicates the detection of each type.

2. onBarcodeScan

Called when a barcode is successfully scanned.

• Response:

  { "code": [] }
  

  • code: The scanned barcode data.

3. onOCRScan

Triggered when OCR detects and returns text.

• Response:

  { "data": {} }
  

  • data: Text recognized through OCR.

4. onImageCaptured

Fires when an image is captured.

• Response:

  { "barcodes": [], "image": "/path/to/image" }
  

  • barcodes: An array of detected barcodes in the image.
  • image: File path to the captured image.

5. onModelDownloadProgress

Tracks the download progress of the model.

• Response:

  { "downloadStatus": true, "progress": 1 }
  

  • downloadStatus: Indicates if downloading is ongoing.
  • progress: A number (0 to 1) indicating download progress.

6. onError

Called when an error occurs.

• Response:

  { "code": 1, "message": "" }
  

  • code: Error code.
  • message: Description of the error.

Example Usage

Here's how to set up the Vision SDK in your React Native component:

import React, { useEffect, useRef, useState } from 'react';
import VisionSdkView, { VisionSdkRefProps } from 'react-native-vision-sdk';
const ScannerView = () => {
  const visionSdk = useRef(null);

  // Configure Vision SDK settings
  useEffect(() => {
    visionSdk?.current?.setFocusSettings({
      shouldDisplayFocusImage: true,
      shouldScanInFocusImageRect: true,
      showCodeBoundariesInMultipleScan: true,
      validCodeBoundaryBorderColor: '#2abd51',
      validCodeBoundaryBorderWidth: 2,
      validCodeBoundaryFillColor: '#2abd51',
      inValidCodeBoundaryBorderColor: '#cc0829',
      inValidCodeBoundaryBorderWidth: 2,
      inValidCodeBoundaryFillColor: '#cc0829',
      showDocumentBoundaries: true,
      documentBoundaryBorderColor: '#241616',
      documentBoundaryFillColor: '#e3000080',
      focusImageTintColor: '#ffffff',
      focusImageHighlightedColor: '#e30000',
    });
    visionSdk?.current?.setObjectDetectionSettings({
      isTextIndicationOn: true,
      isBarCodeOrQRCodeIndicationOn: true,
      isDocumentIndicationOn: true,
      codeDetectionConfidence: 0.5,
      documentDetectionConfidence: 0.5,
      secondsToWaitBeforeDocumentCapture: 2.0,
    });
    visionSdk?.current?.setCameraSettings({
      nthFrameToProcess: 10,
    });
    visionSdk?.current?.startRunningHandler();
  }, []);


  return (
     {
        console.log('onDetected', event);
        setDetectedData(event);
      }}
      onOCRScan={(event) => {
        console.log('onOCRScan', event);
        visionSdk.current?.restartScanningHandler();
      }}
      onImageCaptured={(event) => {
        console.log('onImageCaptured', event);
        visionSdk.current?.restartScanningHandler();
      }}
      onModelDownloadProgress={(event) => {
        console.log('onModelDownloadProgress', event);
        if (event.downloadStatus) {
          visionSdk.current?.startRunningHandler();
        }
      }}
      onError={(error) => {
        console.log('onError', error);
      }}
    />
  );
};

API Key

In order to use the OCR API, you have to set API key. Also, you also need to specify the API environment that you have the API key for. Please note that these have to be set before using the API call. You can generate your own API key at cloud.packagex.io. You can find the instruction guide here.

Mode Details

barCode - Detects barcode only in this mode. qrCode - Detects qrcode only in this mode. barCodeOrQrCode - Detects both qr and bar codes in this mode. ocr - Use this mode to capture photos for later use in OCR API call. photo - You can capture simple photos.

Contributing

See the contributing guide to learn how to contribute to the repository and the development workflow.

License

MIT