Text-to-Speech Reader for Visually Impaired
Abstract
In the digital era, researchers are developing assistive devices to help visually impaired individuals access information. This paper proposes a Text-to-Speech (TTS) and Object Detection System using a Raspberry Pi. It integrates Tesseract OCR for text recognition and YOLOv8 for object detection. Google Text-to-Speech (gTTS) converts extracted text and identified objects into audible speech. The system utilizes OpenCV for image processing and is implemented in Python. With a user-friendly interface and minimal hardware, it ensures real-time processing. Designed for accessibility and portability, it enhances independence for visually impaired users. This solution promotes inclusivity, making navigation and information access easier in diverse environments.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 2 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
13874-13877 |
Published |
April 8, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr.S.Maheswari, S.Tejashree, V.S.Dharun, S.Udhaya Krishnan, M.Tharani Kumar, Dr.N.Saravanakumar (%2025). Text-to-Speech Reader for Visually Impaired. International Journal of Science, Research and Technology , Vol. 8 No. 2 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 13874-13877. https://doi.org/10.15662/IJSRAT.2025.0802005 |
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