ejecqc Open Access Journal

European Journal of Emerging Cloud and Quantum Computing

eISSN: Applied
Publication Frequency : 2 Issues per year.

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IOT-POWERED BRAILLE ACCESS: A REFRESHABLE OCR SYSTEM FOR VISUALLY IMPAIRED AND DEAF-BLIND INDEPENDENCE

1 Department of Electrical Engineering, Khalifa University, United Arab Emirates
2 Department of Computer Engineering, Universidad Politécnica de Madrid, Spain
3 Department of Computer Science, Technical University of Munich, Germany

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Abstract

Visual and deaf-blind impairments present significant challenges in accessing printed information, creating a substantial barrier to education, employment, and daily independence. Traditional assistive technologies often lack real-time adaptability and comprehensive integration. This article proposes an innovative Internet of Things (IoT)-driven solution for visually impaired and deaf-blind users, combining Optical Character Recognition (OCR) with refreshable Braille displays, all facilitated by a Wireless Sensor Network (WSN). The system aims to provide seamless, real-time conversion of visual text into tactile Braille, addressing the critical need for accessible information. By leveraging the pervasive nature of IoT and the connectivity of WSNs, this technology offers a dynamic and responsive platform for navigating diverse textual environments. The refreshable Braille component overcomes the limitations of static Braille materials, enabling on-the-fly information access. This paper details the system's architecture, methodologies for OCR processing and Braille conversion, and the WSN's role in data transmission. Potential benefits include enhanced literacy, improved independence, and greater inclusion for a demographic often marginalized by inaccessible information formats.


Keywords

IoT, Wireless Sensor Network, OCR, Refreshable Braille

References

1. Anisha, P.R., Reddy, C.K.K., Nguyen, N.G., Bhushan, M., Kumar, A., Hanafiah, M.M., 2022. Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices. CRC Press.

2. Başçiftçi, F., Eldem, A., 2016. An interactive and multi-functional refreshable Braille device for the visually impaired. Displays 41, 33–41.

3. Dandanell, J., & Henriksson, A. (2021). Brailled: A Braille translation aid.

4. de Luna, R.G., 2020. A tesseract-based optical character recognition for a text-to-braille code conversion. Int. J. Adv. Sci. Eng. Inf. Technol. 10 (1), 128–136.

5. Edwards, B.J., Lewis, S., 1998. The use of technology in programs for students with visual impairments in Florida. J. Vis. Impair. Blind. 92 (5), 302–312.


How to Cite

IOT-POWERED BRAILLE ACCESS: A REFRESHABLE OCR SYSTEM FOR VISUALLY IMPAIRED AND DEAF-BLIND INDEPENDENCE. (2024). European Journal of Emerging Cloud and Quantum Computing, 1(01), 50-63. https://parthenonfrontiers.com/index.php/ejecqc/article/view/93

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