This paper is published in Volume-10, Issue-2, 2024
Area
Computer Science and Engineering
Author
Akhilesh N, Harsath Vijayakumar, Nikhil S, Rahul MR, Suhasini
Org/Univ
Maharaja Institute of Technology Thandavapura, Mysuru, Karnataka, India
Pub. Date
01 May, 2024
Paper ID
V10I2-1174
Publisher
Keywords
Smart Reader, Raspberry Pi, Language Support, Real-Time Text Recognition, Cost-Effective.

Citationsacebook

IEEE
Akhilesh N, Harsath Vijayakumar, Nikhil S, Rahul MR, Suhasini. Empowering the Visually Impaired: The Innovative Reader, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Akhilesh N, Harsath Vijayakumar, Nikhil S, Rahul MR, Suhasini (2024). Empowering the Visually Impaired: The Innovative Reader. International Journal of Advance Research, Ideas and Innovations in Technology, 10(2) www.IJARIIT.com.

MLA
Akhilesh N, Harsath Vijayakumar, Nikhil S, Rahul MR, Suhasini. "Empowering the Visually Impaired: The Innovative Reader." International Journal of Advance Research, Ideas and Innovations in Technology 10.2 (2024). www.IJARIIT.com.

Abstract

The intent of this study is to present a new Smart Reader system, to improve accessibility for those with visual impairments. Leveraging the versatile capabilities of Raspberry Pi, the system integrates both hardware and software components to facilitate real-time text recognition and audio output. Its hardware setup comprises a Raspberry Pi microcontroller, a camera module, and audio peripherals, ensuring a portable and efficient design. By employing computer vision techniques, the system extracts text from various textual materials, such as books, documents, and signs, and converts it into sound. Machine learning algorithms contribute to accurate text recognition, while natural language processing ensures coherent audio delivery. Future enhancements may concentrate on bolstering system resilience, broadening language support, and incorporating additional features to cater user requirements.