[android] Firebase ML Kit

26 Dec 2023

android

Firebase ML Kit is a mobile SDK that brings Google’s machine learning expertise to Android and iOS apps in a powerful yet easy-to-use package. It allows developers to easily integrate machine learning capabilities into their applications, such as image labeling, text recognition, face detection, barcode scanning, and more.

In this blog post, we’ll explore how to get started with Firebase ML Kit for Android, and how to use it to add machine learning features to your app.

Setting up Firebase ML Kit
Image Labeling
Text Recognition
Face Detection
Barcode Scanning

Setting up Firebase ML Kit

To get started with Firebase ML Kit for Android, you’ll need to add the necessary dependencies to your project. First, make sure you have Firebase integrated into your app by following the official documentation. Once Firebase is set up, you can add the ML Kit dependencies to your build.gradle file:

dependencies {
    // Other dependencies
    implementation 'com.google.firebase:firebase-ml-vision:24.0.1' // ML Vision API
}

After adding the dependencies, sync your project and you’re ready to start using Firebase ML Kit.

Image Labeling

Firebase ML Kit provides powerful image labeling capabilities, allowing you to analyze and label the contents of images. Here’s a simple example of how to use image labeling in your app:

// Create an instance of FirebaseVisionImage
FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);

// Get an instance of FirebaseVision
FirebaseVision vision = FirebaseVision.getInstance();

// Get an instance of FirebaseVisionImageLabeler
FirebaseVisionImageLabeler labeler = vision.getOnDeviceImageLabeler();

// Process the image and receive the labels
labeler.processImage(image)
    .addOnSuccessListener(labels -> {
        // Handle the labels
        for (FirebaseVisionImageLabel label : labels) {
            String text = label.getText();
            String entityId = label.getEntityId();
            float confidence = label.getConfidence();
            // Handle label data
        }
    })
    .addOnFailureListener(e -> {
        // Handle any errors
    });

Text Recognition

With Firebase ML Kit, you can easily recognize and extract text from images. Here’s a basic example of text recognition in action:

// Create an instance of FirebaseVisionImage
FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);

// Get an instance of FirebaseVision
FirebaseVision vision = FirebaseVision.getInstance();

// Get an instance of FirebaseVisionTextRecognizer
FirebaseVisionTextRecognizer recognizer = vision.getOnDeviceTextRecognizer();

// Process the image and receive the recognized text
recognizer.processImage(image)
    .addOnSuccessListener(firebaseVisionText -> {
        // Handle the recognized text
        String text = firebaseVisionText.getText();
        // Handle the recognized text
    })
    .addOnFailureListener(e -> {
        // Handle any errors
    });

Face Detection

Firebase ML Kit also offers powerful face detection capabilities, allowing you to detect faces in images or live camera streams. Here’s a basic example of how to use face detection:

// Create an instance of FirebaseVisionImage
FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);

// Get an instance of FirebaseVision
FirebaseVision vision = FirebaseVision.getInstance();

// Get an instance of FirebaseVisionFaceDetector
FirebaseVisionFaceDetector detector = vision.getVisionFaceDetector();

// Process the image and receive the detected faces
detector.detectInImage(image)
    .addOnSuccessListener(firebaseVisionFaces -> {
        // Handle the detected faces
        for (FirebaseVisionFace face : firebaseVisionFaces) {
            // Handle face data
        }
    })
    .addOnFailureListener(e -> {
        // Handle any errors
    });

Barcode Scanning

Firebase ML Kit enables you to scan and extract information from barcodes in real time. Here’s a basic example of how to use barcode scanning in your app:

// Create an instance of FirebaseVisionImage
FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);

// Get an instance of FirebaseVision
FirebaseVision vision = FirebaseVision.getInstance();

// Get an instance of FirebaseVisionBarcodeDetector
FirebaseVisionBarcodeDetector detector = vision.getVisionBarcodeDetector();

// Process the image and receive the detected barcodes
detector.detectInImage(image)
    .addOnSuccessListener(firebaseVisionBarcodes -> {
        // Handle the detected barcodes
        for (FirebaseVisionBarcode barcode : firebaseVisionBarcodes) {
            // Handle barcode data
        }
    })
    .addOnFailureListener(e -> {
        // Handle any errors
    });

Conclusion

Firebase ML Kit for Android provides a wide range of machine learning capabilities that can be easily integrated into your app. Whether you need image labeling, text recognition, face detection, or barcode scanning, Firebase ML Kit has you covered. With its simple API and powerful features, adding machine learning to your Android app has never been easier.

Start experimenting with Firebase ML Kit today to bring the power of machine learning to your Android app!

References:

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