RASPBERRY PI BASED SMART GLASSES USING PYTHON FOR VISUALLY IMPAIRED PEOPLE

RASPBERRY PI BASED SMART GLASSES USING PYTHON FOR VISUALLY IMPAIRED PEOPLE

Karma Pintso Bhutia, Anandakrishnan A, Rahul Mehta, Ajay Babre, Jananee J

BME dept.

Rajiv Gandhi Institution of

Technology

Bangalore, India

ABSTRACT
This project involves building a pair of smart glasses that can recognise and convert text from an image taken by a Raspberry Pi camera using OCR software and text-to-speech conversion. The goal of this project is to assist blind students in schools in integrating into society rather than relegating them to attending institutions designed exclusively for the visually impaired. Blind students can more readily access printed materials in the classroom by using Pytesseract, a Python wrapper for Google's Tesseract OCR engine, to extract text from the image, and GTTS, a Python library for text-to-speech conversion, to provide audio output of the recognised text through an earphone connected to the Raspberry Pi.The glasses could be used for a variety of purposes aside from the classroom, like providing language translation for travellers. The project shows the capability of fusing open-source hardware and software to produce creative answers to practical issues.
Index Terms—

Raspberry Pi, smart glasses, OCR, Pytesseract, GTTS, text-to-speech conversion, visual impairment, education, integration, society, accessibility, open-source hardware, open-source software, innovation, language translation