The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.
Smart Specs: Voice assisted text reading system for visually impaired persons using TTS method
Abstract
According to the World Health Organization, out of 7.4 billion population around 285 million people are estimated to be visually impaired worldwide. It is observed that they are still finding it difficult to roll their day today life and it is important to take necessary measure with the emerging technologies to help them to live the current world irrespective of their impairments. In the motive of supporting them We have proposed a smart spec for the blind persons which can perform text detection thereby produce a voice output. This can help the visually impaired persons to read any printed text in vocal form. A specs inbuilt camera is used to capture the text image from the printed text and the captured image is analyzed using Tesseract-Optical Character recognition (OCR). The detected text is then converted into speech using a compact open source software speech synthesizer, eSpeak. Finally, the synthesized speech is produced by the headphone by TTS method. In this project Raspberry Pi is the main target for the implementation, as it provides an interface between camera, sensors, and image processing results, while also performing functions to manipulate peripheral units (Keyboard, USB etc.,).
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“It makes easy for users to buy from a list”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [53]
Citations
Cites
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Using speech recognition for real-time captioning and lecture transcription in the classroom
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Cited by
Sorted by citations
Ariza, J. Á., & Pearce, J. M. (2022) · IEEE Access · doi:10.1109/access.2022.3221449 · Cited by 59
Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies
Elgendy, M., Sik-Lanyi, C., & Kelemen, A. (2019) · Applied Sciences · doi:10.3390/app9061061 · Cited by 48
“Other applications use Speech to Text (STT) techniques to transform PVI voice commands to a list of items [53].”
MethodRaspberry pi based Intelligent Reader for Visually Impaired Persons
Mainkar, V. V., Bagayatkar, T. U., Shetye, S. K., Tamhankar, H. R., Jadhav, R., & Tendolkar, R. S. (2020) · International Conference on Innovative Mechanisms for Industry Applications · doi:10.1109/icimia48430.2020.9074948 · Cited by 28
A Vision Module for Visually Impaired People by Using Raspberry PI Platform
Tepelea, L., Buciu, I., Grava, C., Gavrilut, I., & Gacsadi, A. (2019) · International Conference on Engineering of Modern Electric Systems · doi:10.1109/emes.2019.8795205 · Cited by 26
Image Captioning based Smart Navigation System for Visually Impaired
Rane, C., Lashkare, A., Karande, A. M., & Rao, Y. S. (2021) · International Conference on Communication Information and Computing Technology (ICCICT) · doi:10.1109/iccict50803.2021.9510102 · Cited by 23
Metadata
- Authors
- Ani, R., Maria, E., Joyce, J. J., Sakkaravarthy, V., & Raja, M. A.
- Affiliations
- Dr. N.G.P. Institute of Technology (IN)
- Venue
- 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT)
- Publisher
- IEEE
- Published
- 2017-03
- Pages
- 1-6
- OpenAlex
- W2766775179
- Cited by
- 48
- References
- 15
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 9 · 2023: 9 · 2022: 5 · 2021: 8 · 2020: 5 · 2019: 3 · 2018: 1
- FWCI
- 6.76
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT) (publishedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Keywords
- visually impaired assistance, text-to-speech, optical character recognition, Tesseract OCR, Raspberry Pi, smart glasses, assistive technology
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