Integrate Barcode Scanner Into Android App

Make sure you have added module reference into your project. 1) New - Import new Module - Select your zxing library. Let the gradle build. Then, Go to File - Project Structure - Select app under.
Barcode Scanning in Android Apps Barcode scanning is one of the most potentially useful resources you will come across on the Android platform. The ZXing (Zebra Crossing) project is bar far the easiest and most effective way to implement barcode scanning for most development purposes.

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Integrate Barcode Scanner Into Android App Download

In this tutorial I will describe an intent integration, which means that I will ask the system if there is a Barcode Scan app installed, if yes – the scan will be performed, if not – I will be re-directed to the Play Store where I could easily download Barcode Scan app and after the installation, – perform the scan.

It is easy to use Simple barcode scanner it required internet Reads multiple barcodes. Blurred & damaged barcodes. Any orientation & rotation angle. Integrate barcode scanner into Android, that allows an Android device with imaging hardware to scan barcodes or 2-D 2D graphical barcodes and retrieve the data encoded. Scan barcodes on products, or Data Matrix and QR Codes containing URLs. Use the mobile device's native camera to scan a barcode on a book. The barcode's information appears in the barcode field, and an additional section appears with the book's information that was received from our call to the Open Library Books API: Notable Implementation Details. This example shows how to call a specific API using and Integration.

You can use ML Kit to recognize and decode barcodes.

See the ML Kit Material Design showcase app and the ML Kit quickstart sample on GitHub forexamples of this API in use.

There are two ways to integrate barcode scanning: by bundling the model as partof your app, or by using an unbundled model that depends on Google PlayServices. If you select the unbundled model, your app will be smaller, howeverthe bundled model has performance advantages over the unbundled model. See thetable below for details.

Feature	Unbundled	Bundled
Implementation	Model is dynamically downloaded via Google Play Services.	Model is statically linked to your app at build time.
App size	No impact.	About 2.2 MB model size.
Initialization time	Might have to wait for model to download before first use.	Model is available immediately.
Performance	V1 model.	V2 model is faster and more accurate. Adds support for broken PDF417 start/stop pattern detection, improving recall by 10.5%

Before you begin

In your project-level build.gradle file, make sure to include Google's Maven repository in both your buildscript and allprojects sections.
Add the dependencies for the ML Kit Android libraries to your module's app-level gradle file, which is usually app/build.gradle. Choose one of the following dependencies based on your needs:
For bundling the model with your app:
For using the model in Google Play Services:
If you choose to use the model in Google Play Services, you can configure your app to automatically download the model to the device after your app is installed from the Play Store. To do so, add the following declaration to your app's AndroidManifest.xml file:
If you don't enable install-time model downloads, the model is downloaded the first time you run the scanner. Requests you make before the download has completed produce no results.

Input image guidelines

For ML Kit to accurately read barcodes, input images must contain barcodes that are represented by sufficient pixel data.
The specific pixel data requirements are dependent on both the type of barcode and the amount of data that's encoded in it, since many barcodes support a variable size payload. In general, the smallest meaningful unit of the barcode should be at least 2 pixels wide, and for 2-dimensional codes, 2 pixels tall.
For example, EAN-13 barcodes are made up of bars and spaces that are 1, 2, 3, or 4 units wide, so an EAN-13 barcode image ideally has bars and spaces that are at least 2, 4, 6, and 8 pixels wide. Because an EAN-13 barcode is 95 units wide in total, the barcode should be at least 190 pixels wide.
Denser formats, such as PDF417, need greater pixel dimensions for ML Kit to reliably read them. For example, a PDF417 code can have up to 34 17-unit wide 'words' in a single row, which would ideally be at least 1156 pixels wide.
Poor image focus can impact scanning accuracy. If your app isn't getting acceptable results, ask the user to recapture the image.
For typical applications, it's recommended to provide a higher resolution image, such as 1280x720 or 1920x1080, which makes barcodes scannable from a larger distance away from the camera.
However, in applications where latency is critical, you can improve performance by capturing images at a lower resolution, but requiring that the barcode make up the majority of the input image. Also see Tips to improve real-time performance.

1. Configure the barcode scanner

If you know which barcode formats you expect to read, you can improve the speedof the barcode detector by configuring it to only detect those formats.

For example, to detect only Aztec code and QR codes, build aBarcodeScannerOptions object as in the following example:

The following formats are supported:

Code 128 (FORMAT_CODE_128)
Code 39 (FORMAT_CODE_39)
Code 93 (FORMAT_CODE_93)
Codabar (FORMAT_CODABAR)
EAN-13 (FORMAT_EAN_13)
EAN-8 (FORMAT_EAN_8)
ITF (FORMAT_ITF)
UPC-A (FORMAT_UPC_A)
UPC-E (FORMAT_UPC_E)
QR Code (FORMAT_QR_CODE)
PDF417 (FORMAT_PDF417)
Aztec (FORMAT_AZTEC)
Data Matrix (FORMAT_DATA_MATRIX)

Note: For a Data Matrix code to be recognized, the code must intersect thecenter point of the input image. Consequently, only one Data Matrix code can berecognized in an image.

2. Prepare the input image

To recognize barcodes in an image, create an InputImage objectfrom either a Bitmap, media.Image, ByteBuffer, byte array, or a file onthe device. Then, pass the InputImage object to theBarcodeScanner's process method.

You can create an InputImage from different sources, each is explained below.

Using a `media.Image`

To create an InputImage object from a media.Image object, such as when you capture an image from a device's camera, pass the media.Image object and the image's rotation to InputImage.fromMediaImage().

If you use the CameraX library, the OnImageCapturedListener and ImageAnalysis.Analyzer classes calculate the rotation value for you.

If you don't use a camera library that gives you the image's rotation degree, you can calculate it from the device's rotation degree and the orientation of camera sensor in the device:

Then, pass the media.Image object and the rotation degree value to InputImage.fromMediaImage():

Using a file URI

To create an InputImage object from a file URI, pass the app context and file URI to InputImage.fromFilePath(). This is useful when you use an ACTION_GET_CONTENT intent to prompt the user to select an image from their gallery app.

Using a `ByteBuffer` or `ByteArray`

To create an InputImage object from a ByteBuffer or a ByteArray, first calculate the image rotation degree as previously described for media.Image input. Then, create the InputImage object with the buffer or array, together with image's height, width, color encoding format, and rotation degree:

Using a `Bitmap`

To create an InputImage object from a Bitmap object, make the following declaration:

The image is represented by a Bitmap object together with rotation degrees.

3. Get an instance of BarcodeScanner

4. Process the image

Pass the image to the process method:Note: If you are using the CameraX API, make sure to close the ImageProxy

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when finish using it,e.g., by adding an OnCompleteListener to the Task returned from theprocess

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method. See theVisionProcessorBase class in the quickstart sample app for an example.

5. Get information from barcodes