Artificial Eye for the Blind
Abhinav Benagi Dhanyatha Narayan Charith Rage A Sushmitha
The main backbone of our Artificial Eye model is the Raspberry pi3 which is
connected to the webcam ,ultrasonic proximity sensor, speaker and we also run
all our software models i.e object detection, Optical Character recognition,
google text to speech conversion and the Mycroft voice assistance model. At
first the ultrasonic proximity sensor will be measuring the distance between
itself and any obstacle in front of it .When the Proximity sensor detects any
obstacle in front within its specified range, the blind person will hear an
audio prompt about an obstacle in his way at a certain distance. At this time
the Webcam will capture an image in front of it and the Object detection model
and the Optical Character Recognition model will begin to run on the Raspberry
pi. The imat of the blind person. The text and the object detected are conveyed
to the blind pege captured is first sent through the Tesseract OCR module to
detect any texts in the image and then through the Object detection model to
detect the objects in fronrson by converting the texts to speech by using the
gTTS module. Along with the above mentioned process going on there will be an
active MYCROFT voice assistant model which can be used to interact with the
blind person. The blind person can ask about the weather , daily news , any
information on the internet ,etc