Abstract:
Textbooks are a great source of information that shows us knowledge. The
number of textbooks in the world is more than 1 billion from the 2010 survey
however, only 6 million e-books are only available now. The visually impaired can
only understand braille textbooks and they could hear e-books, unlikely the number of
braille textbooks is limited and the cost of converting normal textbooks to braille
books is not affordable. Education is considered the most important element in human
life, it is this education that we receive today which will shape our tomorrow. But if
we think about the visually impaired people, they never get the same level of
education nor get to know about it only because they are blind. The project is aimed to
help the visually impaired to help gain information from textbooks using a
microcontroller. The microcontroller is attached to scanning equipment made of
plywood and the board is connected with a camera that helps to scan the document.
Our project tries to help a group of people in a particular blind school. The
project aims to assist the students as well as teachers to help them in their teaching
process. In our work, we build a piece of equipment for scanning documents that can
make the job easy for visually impaired people, especially students. We know that
initially, it would be a hard job for them to make use of it but in the end, once they get
used to it, it would serve the purpose that it was meant for. The vision of creating this
project is just the beginning and what I have built is just a primary version of what it
is supposed to be it requires a normal person without visual impairment to adjust the
focus which is its limitation and that will be overcome in future. We tried to build
equipment that is supposed to serve the purpose. The design and specialties of the
equipment will decide how the project becomes a success or a failure. The input is
taken in the form of an image captured from the web camera or pi camera using a
press button. This image is then processed for text reading using OCR software. The
Raspberry Pi acts as the microcontroller for processing the entire process. The text
reading is supported by software named OCR(optical character recognition). The read
text is changed into an audio output using the TTS(Text To Speech) Synthesis. Other
dependencies required for the process include Tesseract Library.