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@xbone-3/cordova-plugin-mlkit-barcodescanner

v5.0.0

Published

Google MLKit Vision Barcode Scanner Plugin for Cordova

Readme

:camera: cordova-plugin-mlkit-barcode-scanner

Purpose of this Project

The purpose of this project is to provide a barcode scanner utilizing the Google ML Kit Vision library for the Cordova framework on iOS and Android. The MLKit library is incredibly performant and fast in comparison to any other barcode reader that I have used that are free.

Plugin Dependencies

| Dependency | Version | Info | | --------------------------------- | --------- | -------------------------- | | cordova-android | >=8.0.0 | | | cordova-ios | >=4.5.0 | | | cordova-plugin-androidx | ^3.0.0 | If cordova-android < 9.0.0 | | cordova-plugin-androidx-adapter | ^1.1.3 | |

Prerequisites

If your cordova-android version is below 9.0.0, you have to install cordova-plugin-androidx first before installing this plugin. Execute this command in your terminal:

npx cordova plugin add cordova-plugin-androidx

Installation

Run this command in your project root:

npx cordova plugin add cordova-plugin-mlkit-barcode-scanner

Supported Platforms

  • Android
  • iOS/iPadOS

Barcode Support

| 1d formats | Android | iOS | | ------------ | ------- | --- | | Codabar | ✓ | ✓ | | Code 39 | ✓ | ✓ | | Code 93 | ✓ | ✓ | | Code 128 | ✓ | ✓ | | EAN-8. | ✓ | ✓ | | EAN-13 | ✓ | ✓ | | ITF | ✓ | ✓ | | MSI | ✗ | ✗ | | RSS Expanded | ✗ | ✗ | | RSS-14 | ✗ | ✗ | | UPC-A | ✓ | ✓ | | UPC-E | ✓ | ✓ |

| 2d formats | Android | iOS | | ----------- | ------- | --- | | Aztec | ✓ | ✓ | | Codablock | ✗ | ✗ | | Data Matrix | ✓ | ✓ | | MaxiCode | ✗ | ✗ | | PDF417 | ✓ | ✓ | | QR Code | ✓ | ✓ |

:information_source: Note that this API does not recognize barcodes in these forms:

  • 1D Barcodes with only one character
  • Barcodes in ITF format with fewer than six characters
  • Barcodes encoded with FNC2, FNC3 or FNC4
  • QR codes generated in the ECI mode

Usage

To use the plugin simply call cordova.plugins.mlkit.barcodeScanner.scan(options, sucessCallback, failureCallback). See the sample below.

cordova.plugins.mlkit.barcodeScanner.scan(
  options,
  (result) => {
    // Do something with the data
    alert(result);
  },
  (error) => {
    // Error handling
  },
);

Plugin Options

The default options are shown below. All values are optional.

detectorSize is the fraction of the screen that is scanned (a value in the range (0, 1]). It is a centred rectangle covering that percentage of both the width and the height, so only barcodes the user sees inside the focus box are detected. A value of 1 scans the whole screen and draws no focus box. Values outside (0, 1] fall back to the default. (Android.)

const defaultOptions = {
  barcodeFormats: {
    Code128: true,
    Code39: true,
    Code93: true,
    CodaBar: true,
    DataMatrix: true,
    EAN13: true,
    EAN8: true,
    ITF: true,
    QRCode: true,
    UPCA: true,
    UPCE: true,
    PDF417: true,
    Aztec: true,
  },
  beepOnSuccess: false,
  vibrateOnSuccess: false,
  detectorSize: 0.6,
  rotateCamera: false,
  continuous: false,
  multiple: false,
  drawDetectionBorder: true,
  confirmation: false,
  autoZoom: true,
  showZoomSlider: true,
  galleryButton: true,
};

continuous

When true, the camera stays open and every newly detected barcode is streamed back to the success callback (which may therefore be called many times). Each distinct barcode is reported only once. The scanner stays open until the user presses back, at which point the error callback is invoked with { cancelled: true }. Default: false (the camera closes after the first result).

multiple

When true, every barcode visible in a frame is detected and the success callback receives an array of results instead of a single result. Can be combined with continuous. Default: false.

drawDetectionBorder

When true, corner brackets are drawn around each barcode in the camera preview as it is detected, following the code's corner points (so they follow rotated and 2D codes). Default: true. (Android only.)

confirmation

When true, a detected barcode is not returned immediately. The preview freezes on the detected frame with the decoded value and Confirm / Retry buttons; the result is returned only when the user taps Confirm. Combine with multiple to confirm a whole frame of codes at once. Ignored in continuous mode. Default: false. (Android only.)

autoZoom

When true, the camera gradually zooms in whenever nothing has decoded for a short moment, then stops as soon as a code reads (or the user adjusts zoom manually). This pulls in small or distant barcodes without the user having to move the device closer, improving reliability at a distance. Default: true. (Android only.) See Reliability notes & limitations.

showZoomSlider

When true, a zoom slider is shown in the camera UI so the user can zoom in and out manually. Pinch-to-zoom also works regardless of this option. Manually adjusting zoom disables autoZoom for that session. Default: true. (Android only.)

galleryButton

When true, a button in the bottom control bar lets the user pick an image from the device gallery and scan it. The picked image is shown full-screen with corner brackets drawn over each detected code (just like the live camera) and a Confirm / Retry prompt; the result is returned only on Confirm, while Retry goes back to the live camera. (This image review is always used for gallery scans, independent of the confirmation option.)

If the whole image decodes nothing, the plugin automatically retries on overlapping tiles of the image at full resolution — this can pick up small or distant codes (e.g. a QR shot from far away) that a single whole-image pass misses. If still nothing is found, a brief message is shown and the live camera resumes. Default: true. (Android only.)

Continuous mode Done button

In continuous mode the camera UI shows a Done button so the user can end the session explicitly (previously only the back button closed it). Tapping Done invokes the error/close callback with { cancelled: true, message: 'Scan completed.' } — it is treated as a graceful close, not an error, just like a back-press. The distinct message lets you tell a deliberate Done apart from a back-press ({ cancelled: true, message: 'The scan was cancelled.' }) if you need to. (Android only.)

Output/Return value

With the default options the success callback receives a single result:

result: {
  text: string;
  format: string;
  type: string;
}

When multiple: true, it instead receives an array of such results:

result: Array<{
  text: string;
  format: string;
  type: string;
}>;

Reliability notes & limitations

The plugin runs fully offline — Google ML Kit's barcode model is bundled and executes on-device, so no network is used and no scan data leaves the device.

A few things are worth knowing when tuning for reliability and CPU:

  • Scan distance / "auto-zoom when a code is found but unreadable." ML Kit's barcode API only returns barcodes it has fully decoded — it does not expose a "there is a barcode here but I couldn't read it" signal. Because of that, a literal "detect-then-zoom" is not possible. The autoZoom option implements the practical equivalent: when nothing decodes for ~1s it steps the zoom in (up to a safe cap) until a code reads, then stops. This noticeably improves reads of small or distant codes that previously only worked up close.
  • Focus / small codes. Keep detectorSize reasonably large (the default 0.6, or 1 for the whole screen). A very small focus box throws away resolution and makes distant codes harder to read.
  • CPU usage. Scanning is throttled to the latest camera frame (STRATEGY_KEEP_ONLY_LATEST), so it processes one frame at a time rather than queuing, which keeps CPU bounded. A further optimisation (feeding ML Kit the camera frame directly instead of converting each frame to a bitmap) is noted as a follow-up below.
  • Platform parity (important). The new reliability/UI features — corner-bracket borders, autoZoom, showZoomSlider, galleryButton and the continuous Done button — are Android only for now. On iOS the scanner keeps its existing behaviour. (This matches the existing drawDetectionBorder and confirmation options, which were already Android-only.)
  • Known follow-up (not yet done). The Android analyzer still converts each frame to a JPEG/bitmap before handing it to ML Kit. Switching to InputImage.fromMediaImage(...) (the camera's YUV frame, full resolution) would lower CPU and improve distance reads further; it is intentionally left as a separate change.

Known Issues

On some devices the camera may be upside down.

Here is a list of devices with this problem:

  • Zebra MC330K (Manufacturer: Zebra Technologies, Model: MC33)

Current Solution: if your device has this problem, you can call the plugin with the option rotateCamera set to true. This will rotate the camera stream by 180 degrees.

Development

Build Process

This project uses npm scripts for building:

# lint the project using eslint
npm run lint

# removes the generated folders
npm run clean

# build the project
# (includes clean and lint)
npm run build

# publish the project
# (includes build)
npm publish

A VS Code task for build is also included.

Run the test app

Install cordova:

npm i -g cordova

Go to test app:

cd test/scan-test-app

Install node modules:

npm i

Prepare Cordova:

cordova prepare && cordova plugin add ../../ --link --force

Build and run the project Android:

cordova build android && cordova run android

and iOS:

cordova build ios && cordova run ios

Versioning

⚠️ Before incrementing the version in package.json, remember to increment the version in plugin.xml by hand.

VS Code Extensions

This project is intended to be used with Visual Studio Code and the recommended extensions can be found in .vscode/extensions.json. When you open this repository for the first time in Visual Studio Code you should get a prompt asking you to install the recommended extensions.