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

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
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Reading Assistance and Obstacle Detection Device for the Visually Impaired

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Tactile and Sensory Interactions
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article

Reading Assistance and Obstacle Detection Device for the Visually Impaired

S.J. Suji Prasad, Rafael Sebastián, A Saju, Neelameghan Vt, S Parthiv
article en
1 citations

Abstract

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.

Quality Education
Openalex Percentile: Top 18%
Tactile and Sensory Interactions
1.43
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