Reading Assistance and Obstacle Detection Device for the Visually Impaired
Reading Assistant for Visually Impaired People," focuses on developing an accessible, low-cost device to assist visually impaired individuals in reading printed text. Braille, a common medium for visually impaired readers, is limited in availability and challenging to produce. By combining image recognition technology with speech synthesis, the project creates a user-friendly image-to-speech conversion system using Raspberry Pi. The device is equipped with a camera to capture printed text, which is processed through Optical Character Recognition (OCR) and then converted to audio output via a Text-to-Speech (TTS) engine. This solution enables users to "read" printed materials audibly, enhancing their independence and quality of life. The project employs Raspberry Pi’s compact, cost-effective hardware to offer portability, and is powered by an external battery, making it practical for everyday use. Future enhancements could include integrating obstacle detection and video-based text recognition, aiming to expand functionality and improve accuracy.
Authors
- S.J. Suji Prasad (ORCID: https://orcid.org/0009-0004-7726-5063)
- Rafael Sebastián (ORCID: https://orcid.org/0000-0001-6746-5740)
- A Saju
- Neelameghan Vt
- S Parthiv
Publication Details
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1109/ictest64710.2025.11042637
- Citations
- 1
- Primary Topic
- Tactile and Sensory Interactions
- Type
- article
- Field-Weighted Citation Impact
- 1.43