Example usage for android.content Intent ACTION_DEVICE_STORAGE_LOW

Introduction

In this page you can find the example usage for android.content Intent ACTION_DEVICE_STORAGE_LOW.

Prototype

String ACTION_DEVICE_STORAGE_LOW

To view the source code for android.content Intent ACTION_DEVICE_STORAGE_LOW.

Click Source Link

Document

Broadcast Action: A sticky broadcast that indicates low storage space condition on the device

This is a protected intent that can only be sent by the system.

Usage

From source file:com.s8launch.cheil.facetracker.MultiTrackerActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances./*from w  w w  .  j  a  v a2s.com*/
 */
private void createCameraSource() {

    Context context = getApplicationContext();

    // A face detector is created to track faces.  An associated multi-processor instance
    // is set to receive the face detection results, track the faces, and maintain graphics for
    // each face on screen.  The factory is used by the multi-processor to create a separate
    // tracker instance for each face.
    FaceDetector faceDetector = new FaceDetector.Builder(context)
            .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS).setTrackingEnabled(true)
            .setMode(FaceDetector.ACCURATE_MODE).setMinFaceSize(0.0f).build();

    FaceTrackerFactory faceFactory = new FaceTrackerFactory(this, mGraphicOverlay);
    faceDetector.setProcessor(new MultiProcessor.Builder<>(faceFactory).build());

    // A multi-detector groups the two detectors together as one detector.  All images received
    // by this detector from the camera will be sent to each of the underlying detectors, which
    // will each do face and barcode detection, respectively.  The detection results from each
    // are then sent to associated tracker instances which maintain per-item graphics on the
    // screen.
    MultiDetector multiDetector = new MultiDetector.Builder().add(faceDetector)
            // .add(barcodeDetector)
            .build();

    if (!multiDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    mCameraSource = new CameraSource.Builder(getApplicationContext(), multiDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1920, 1080)
            .setRequestedFps(30.0f).setAutoFocusEnabled(true).build();

}

---

From source file:io.github.marcelbraghetto.alexandria.features.scanner.ui.ScannerActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances./*from w w w .j  a  v  a2s. c o m*/
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource() {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory();
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());
    barcodeFactory.setDelegate(new BarcodeTrackerFactory.BarcodeDetectionDelegate() {
        @Override
        public void barCodeDetected(@NonNull Barcode barcode) {
            Intent data = new Intent();
            data.putExtra(BARCODE_RESULT, barcode);
            setResult(CommonStatusCodes.SUCCESS, data);
            finish();
        }
    });

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, mAppStringsProvider.getString(R.string.scanner_device_storage_low),
                    Toast.LENGTH_LONG).show();
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(30.0f);

    // make sure that auto focus is an available option
    if (mDeviceUtilsProvider.isAtLeastIceCreamSandwich()) {
        builder = builder.setFocusMode(Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE);
    }

    mCameraSource = builder.build();
}

---

From source file:ar.com.bestprice.buyitnow.barcodereader.BarcodeCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances.//w ww  .j  ava2s  . c  o  m
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay);
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder.setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null).build();
}

---

From source file:com.example.jesse.barscan.BarcodeCaptureActivity.java

/**
 * Creates and starts the camera.//from  ww  w  . jav  a2  s . c om
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).setBarcodeFormats(Barcode.PDF417)
            .build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay);
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder.setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null).build();
}

---

From source file:nl.achan.apps.sbb_spelgids.scanner.BarcodeCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances.//  w w  w  .  j  a va 2 s  . c  o  m
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay);
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(59.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder.setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null).build();
}

---

From source file:com.venkatesan.das.cardmanager.OCRCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.// w  w  w  . j  a v a2s . co m
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    allCardsDatabase db = new allCardsDatabase(context);
    String allCards = db.getAllMadeCards();
    String[] allCardsList = allCards.split("\t");
    db.close();
    textRecognizer.setProcessor(new OCRDetectorProcessor(mGraphicOverlay, allCardsList));

    if (!textRecognizer.isOperational()) {
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    mCameraSource = new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(15.0f).setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null).build();
}

---

From source file:it.jaschke.alexandria.barcode.BarcodeCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances./* www .  ja  va  2 s  . c  o  m*/
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay);
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, getString(R.string.detector_dependencies));

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder.setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null).build();
}

---

From source file:com.citesnap.android.app.ocr.OcrCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.//w  w  w . j a v a2  s .  c  o  m
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(mOcrDetectorProcessor);

    if (!textRecognizer.isOperational()) {
        // Note: The first time that an app using a Vision API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any text,
        // barcodes, or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource = new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(20.0f).setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null).build();
}

---

From source file:uy.com.lifan.lifantracker.barcodereader.BarcodeCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the barcode detector to detect small barcodes
 * at long distances.//from w  w w. java 2  s  .  c  om
 * <p/>
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A barcode detector is created to track barcodes.  An associated multi-processor instance
    // is set to receive the barcode detection results, track the barcodes, and maintain
    // graphics for each barcode on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each barcode.
    BarcodeDetector barcodeDetector = new BarcodeDetector.Builder(context).build();
    BarcodeTrackerFactory barcodeFactory = new BarcodeTrackerFactory(mGraphicOverlay);
    barcodeDetector.setProcessor(new MultiProcessor.Builder<>(barcodeFactory).build());

    if (!barcodeDetector.isOperational()) {
        // Note: The first time that an app using the barcode or face API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any barcodes
        // and/or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);

        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the barcode detector to detect small barcodes
    // at long distances.
    CameraSource.Builder builder = new CameraSource.Builder(getApplicationContext(), barcodeDetector)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1600, 1024)
            .setRequestedFps(15.0f);

    // make sure that auto focus is an available option
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.ICE_CREAM_SANDWICH) {
        builder = builder.setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null);
    }

    mCameraSource = builder.setFlashMode(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null).build();
}

---

From source file:com.example.anant_dimri.cameratest.OcrCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the ocr detector to detect small text samples
 * at long distances.// www .j a  va  2s.  c  o  m
 *
 * Suppressing InlinedApi since there is a check that the minimum version is met before using
 * the constant.
 */
@SuppressLint("InlinedApi")
private void createCameraSource(boolean autoFocus, boolean useFlash) {
    Context context = getApplicationContext();

    // A text recognizer is created to find text.  An associated processor instance
    // is set to receive the text recognition results and display graphics for each text block
    // on screen.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay));

    if (!textRecognizer.isOperational()) {
        // Note: The first time that an app using a Vision API is installed on a
        // device, GMS will download a native libraries to the device in order to do detection.
        // Usually this completes before the app is run for the first time.  But if that
        // download has not yet completed, then the above call will not detect any text,
        // barcodes, or faces.
        //
        // isOperational() can be used to check if the required native libraries are currently
        // available.  The detectors will automatically become operational once the library
        // downloads complete on device.
        Log.w(TAG, "Detector dependencies are not yet available.");

        // Check for low storage.  If there is low storage, the native library will not be
        // downloaded, so detection will not become operational.
        IntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);
        boolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;

        if (hasLowStorage) {
            Toast.makeText(this, R.string.low_storage_error, Toast.LENGTH_LONG).show();
            Log.w(TAG, getString(R.string.low_storage_error));
        }
    }

    // Creates and starts the camera.  Note that this uses a higher resolution in comparison
    // to other detection examples to enable the text recognizer to detect small pieces of text.
    mCameraSource = new CameraSource.Builder(getApplicationContext(), textRecognizer)
            .setFacing(CameraSource.CAMERA_FACING_BACK).setRequestedPreviewSize(1280, 1024)
            .setRequestedFps(2.0f).setFlashMode(Camera.Parameters.FLASH_MODE_AUTO)
            .setFocusMode(Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE).build();
}

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