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Reader for Blind Using the Raspberry Pi

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ICDSMLA 2021

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 947))

Abstract

The Raspberry Pi-based reader for the blind is based on the Raspberry Pi processing board. The primary goal of this initiative is for the blind person to be able to understand the context with in paper without the assistance of others. The Python script may be used to create this. Previously, visually handicapped persons used only to understand the context through understanding braille. Braille would be a writing method for blind that employs slightly elevated characters. Under this procedure, the blind person must learn Braille or rely on the assistance of another person for reading or understanding the context. To prevent such issues, consider the “Raspberry Pi-enabled smart reader for blind”. This is developed by incorporating devices such as a speaker, camera that serve as a gateway between both the user and the system. Throughout this work, optical character recognition (OCR) would be used to detect characters, which would then be read aloud by the system via a speaker. Whenever a piece of paper is put in front of the camera, an image of the content in the paper is taken. Following that the text would be transformed into voice and read out by a speaker.

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References

  1. Musale S, Ghiye V (2018) Smart reader for visually impaired, pp 339–342. https://doi.org/10.1109/ICISC.2018.8399091

  2. Zargar AJ, Singh N, Rathee G, Singh AK (2015) Image data-deduplication using the block truncation coding technique. In: 2015 international conference on futuristic trends on computational analysis and knowledge management (ABLAZE), pp 154–158. https://doi.org/10.1109/ABLAZE.2015.7154986

  3. Shah T, Parshionikar S (2019) Efficient portable camera based text to speech converter for blind person, pp 353–358. https://doi.org/10.1109/ISS1.2019.8907995

  4. Singh N, Ahuja NJ (2019) Empirical analysis of explicating the tacit knowledge background, challenges and experimental findings. IJITEE. ISSN 22783075

    Google Scholar 

  5. Srija S, Kawya P, Reddy TA, Dhanalakshmi M (2020) Raspberry Pi based wearable reader for visually impaired people with haptic feedback. In: International conference on electronics and sustainable communication systems (ICESC)

    Google Scholar 

  6. Ahmed SM, Kovela B, Gunjan VK (2020) IoT based automatic plant watering system through soil moisture sensing—a technique to support farmers’ cultivation in rural India. In: Gunjan V, Senatore S, Kumar A, Gao XZ, Merugu S (eds) Advances in cybernetics, cognition, and machine learning for communication technologies. Lecture notes in electrical engineering, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-15-3125-5_28

  7. Ravi A, Khasimbee SK, Asha T, Naga Sai Joshna T, Gnana Jyothirmai P (2020) Raspberry pi based smart reader for blind people. In: International conference on electronics and sustainable communication systems (ICESC)

    Google Scholar 

  8. Manage P, Ambe V, Gokhale P, Patil V, Kulkarni RM, Kalburgimath PR (2020) An intelligent text reader based on python. In: 3rd international conference on intelligent sustainable systems (ICISS)

    Google Scholar 

  9. Kashyap A, Gunjan VK, Kumar A, Shaik F, Rao AA (2016) Computational and clinical approach in lung cancer detection and analysis. Procedia Computer Science 89:528–533

    Article  Google Scholar 

  10. Riyazuddin MD, Hajera Begum S, Jaffar Sadiq MD (2022) Preserving the privacy of COVID-19 infected patients data using a divergent-scale supervised learning for publishing the informative data. In: Chaurasia MA, Mozar S (eds) Contactless healthcare facilitation and commodity delivery management during COVID 19 pandemic. Advanced technologies and societal change. Springer, Singapore. https://doi.org/10.1007/978-981-16-5411-4_5

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Correspondence to Y. Pavan Kumar Reddy .

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Reddy, Y.P.K., Hemadri, G., Nithya, U.J., Basha, D.S.H., Krishna, Y.H. (2023). Reader for Blind Using the Raspberry Pi. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2021. Lecture Notes in Electrical Engineering, vol 947. Springer, Singapore. https://doi.org/10.1007/978-981-19-5936-3_69

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  • DOI: https://doi.org/10.1007/978-981-19-5936-3_69

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5935-6

  • Online ISBN: 978-981-19-5936-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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