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.felipeacerbi.nfctest.activities.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  a v a 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() {
    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);

    mCameraSource = builder.build();
}

---

From source file:me.kglawrence.kerilawrence.book_park.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.  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) {
    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);

    barcodeFactory.setOnNewBarcodeListener(new BarcodeTrackerFactory.OnNewBarcodeListener() {
        @Override
        public void onNewItem(Barcode item) {
            if (item != null) {
                Intent data = new Intent();
                data.putExtra(BarcodeObject, item);
                String barcode = item.rawValue;
                if (checkIn) {
                    mDatabase.child("checkedout").child(barcode).child("studentId").setValue(studentId);
                } else {
                    mDatabase.child("checkedout").child(barcode).removeValue();
                }
                setResult(CommonStatusCodes.SUCCESS, data);
                finish();
            }
        }
    });

    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_FRONT).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_AUTO : null);
    }
    mCameraSource = builder.build();
}

---

From source file:it.jaschke.alexandria.barcodeDetection.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 av  a 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 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;
        /**
         * Notify the user there was an error loading the libraries to detect barcode
         */
        String text = getString(R.string.barcode_error);
        if (hasLowStorage) {
            text = text + getString(R.string.low_storage_error);
            Log.w(TAG, getString(R.string.low_storage_error));
        }
        Toast.makeText(getApplicationContext(), text, 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(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.cpen321.fridgemanager.OcrReader.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.//from   w  w  w  . j a  v  a  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();

    //  Create the TextRecognizer
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    // Set the TextRecognizer's Processor.
    textRecognizer.setProcessor(new OcrDetectorProcessor(mGraphicOverlay));
    // Check if the TextRecognizer is operational.
    if (!textRecognizer.isOperational()) {
        Log.w(TAG, "Detector dependencies are not yet available.");

        //check for low storage
        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));
        }
    }
    // Create the mCameraSource using the TextRecognizer.
    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:com.example.android.enghack_receipt_scanner.OcrCaptureActivity.java

/**
 * Creates and starts the ocr_capture.  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./*from   w w  w  .  j a  v  a  2  s. 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();

    // 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 ocr_capture.  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(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null).build();
}

---

From source file:com.bayarchain.OCR.OcrCaptureActivity.java

/**
 * Creates and starts the camera.  Note that this uses a higher resolution in comparison
 * to other detection examples to enable the com.bayarchain.ocr detector to detect small text samples
 * at long distances./*from   w ww . java  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(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE).build();
}

---

From source file:com.app.azza.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  a 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 text recognizer is created to find text.  An associated multi-processor instance
    // is set to receive the text recognition results, track the text, and maintain
    // graphics for each text block on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each text block.
    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(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null).build();
}

---

From source file:com.aegiswallet.services.PeerBlockchainService.java

@Override
public void onCreate() {
    super.onCreate();

    nm = (NotificationManager) getSystemService(Context.NOTIFICATION_SERVICE);

    application = (PayBitsApplication) getApplication();
    prefs = PreferenceManager.getDefaultSharedPreferences(this);
    final Wallet wallet = application.getWallet();

    blockChainFile = new File(getDir("blockstore", Context.MODE_PRIVATE), Constants.BLOCKCHAIN_FILENAME);

    final boolean blockChainFileExists = blockChainFile.exists();

    if (!blockChainFileExists) {
        wallet.clearTransactions(0);//from  www .  j  a v a 2s.  co  m
        wallet.setLastBlockSeenHeight(-1);
        wallet.setLastBlockSeenHash(null);
    }

    try {
        blockStore = new SPVBlockStore(Constants.NETWORK_PARAMETERS, blockChainFile);
        blockStore.getChainHead(); // detect corruptions as early as possible

        long earliestKeyCreationTime = wallet.getEarliestKeyCreationTime();

        if (earliestKeyCreationTime == 0)
            earliestKeyCreationTime = System.currentTimeMillis() - TimeUnit.DAYS.toMillis(7);

        if (!blockChainFileExists && earliestKeyCreationTime > 0) {
            Log.d(TAG, "creating blockchain from checkpoint. attmpting to at least...");
            try {
                final InputStream checkpointsInputStream = getAssets().open(Constants.CHECKPOINTS_FILENAME);
                CheckpointManager.checkpoint(Constants.NETWORK_PARAMETERS, checkpointsInputStream, blockStore,
                        earliestKeyCreationTime);
            } catch (final IOException x) {
                Log.e(TAG, "problem reading checkpoint file..." + x.getMessage());
            }
        }

    } catch (final BlockStoreException x) {
        blockChainFile.delete();

        final String msg = "blockstore cannot be created";
        throw new Error(msg, x);
    }

    try {
        blockChain = new BlockChain(Constants.NETWORK_PARAMETERS, wallet, blockStore);
    } catch (final BlockStoreException x) {
        throw new Error("blockchain cannot be created", x);
    }

    bestChainHeightEver = prefs.getInt(Constants.PREFS_KEY_BEST_CHAIN_HEIGHT_EVER, 0);

    peerConnectivityListener = new PeerConnectivityListener();
    sendBroadcastPeerState(0);

    final IntentFilter intentFilter = new IntentFilter();
    intentFilter.addAction(ConnectivityManager.CONNECTIVITY_ACTION);
    intentFilter.addAction(Intent.ACTION_DEVICE_STORAGE_LOW);
    intentFilter.addAction(Intent.ACTION_DEVICE_STORAGE_OK);

    registerReceiver(connectivityReceiver, intentFilter);
    registerReceiver(tickReceiver, new IntentFilter(Intent.ACTION_TIME_TICK));
    maybeRotateKeys();

    tagPrefs = application.getSharedPreferences(getString(R.string.tag_pref_filename), Context.MODE_PRIVATE);

}

---

From source file:com.oxilo.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./*  ww w .  j  av 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(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());

    barcodeDetector.setProcessor(new Detector.Processor<Barcode>() {
        @Override
        public void release() {
        }

        @Override
        public void receiveDetections(Detector.Detections<Barcode> detections) {
            final SparseArray<Barcode> barcodes = detections.getDetectedItems();
            if (barcodes.size() != 0) {
                if (barcodes != null) {
                    Log.e("BASDAA", "" + barcodes.valueAt(0).displayValue);
                    Intent data = new Intent();
                    data.putExtra(BarcodeObject, barcodes.valueAt(0));
                    setResult(CommonStatusCodes.SUCCESS, data);
                    finish();
                } else {
                    Log.d(TAG, "barcode data is null");
                }
            }
        }
    });

    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(640, 480)
            .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.perchtech.humraz.blind.libraryact.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.//from   www.j  a v a 2 s . com
 * <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 text recognizer is created to find text.  An associated multi-processor instance
    // is set to receive the text recognition results, track the text, and maintain
    // graphics for each text block on screen.  The factory is used by the multi-processor to
    // create a separate tracker instance for each text block.
    TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();
    textRecognizer.setProcessor(new librarydetector(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(useFlash ? Camera.Parameters.FLASH_MODE_TORCH : null)
            .setFocusMode(autoFocus ? Camera.Parameters.FOCUS_MODE_CONTINUOUS_PICTURE : null).build();
}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• »