3. Working:
First the CameraSource gives the camera view on the screen. Then
CameraView combined with the CameraSource sets the properties of camera
screen for example, Back facing camera or front facing camera, frames per
second, Autofocus should be enabled or not and dimensions. CameraSource
class also sends Frames per second to the Detector class synchronously in a
pipeline Structure and it checks if the Detector object can not process given
frames per second then it reduces the frames per second because it is
synced with the Detector. Now In the TextRecognizer API, Detector class
from the help of Detector.
4. Processor detects these frames and recognizes text with the help of
algorithm explained above. This text is detected as TextBlocks and
saved in a SparseArray which using StringBuilder class makes a string
which represents the whole text in an image. Now this text is given to
TextToSpeech which speaks the text to the user. Two Frames per
second are being read by the Detector on live camera and for each
frame a thread is being run to detect text in the frames(Images) taken
from the camera.
