Abstract
This paper presents a prototype which aims at helping the visually impaired people by providing them assistance with the most basic activity such as shopping at the supermarket. The system consists of a Raspberry Pi interfaced with a camera, a headset and an ultrasonic sensor. The camera captures the content in the text image. The image is recognized which is then fed to a speech synthesizer converting text into speech for it to be heard by the user. The ultrasonic sensor acts as an obstacle detector.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
A. Mathur, A. Pathare, P. Sharma, AI based reading system for blind using OCR, In Proceedings of the Third International Conference on Electronics Communication and Aerospace Technology [ICECA 2019] (2019)
M.B. Gosavi, I.V. Pund, H.V. Jadhav, S.R. Gedam, Mobile application with optical character recognition using neural network. Int. J. Comput. Sci. Mobile Comput. 4(1), 483–489 (2015)
M. Saranya, A. Abinaya, K.S. Dhanesh Priya, G. Kowsalya, B. Madhumitha, Design and implementation of raspberry pi-based whistle to voice translation using Morse code for dumb and blind people. Int. J. Innov. Res. Adv. Eng. (IJIRAE) 03(6) (2019)
M. Saratzidis, C. Liambas, Autonomous OCR dictating system for blind people, in IEEE Global Humanitarian Technology Conference (GHTC)2016 (Aristotle University of Thessaloniki, Thessaloniki, Greece, 2016)
R. Ramkishor, Artificial vision for blind people using OCR technology. Int. J. Emerg. Trends Technol. Comput. Sci. (IJETTCS) 6(3) (2017)
S. Thakare, A. Kamble, V. Thengne, U.R. Kamble, Document segmentation and language translation using terresract-OCR, in IEEE 13th International Conference on Industrial and Information Systems (ICIIS), (Rupnagar, India, 2018), pp. 148–151
R. Hamzah, M.I.M. Fadzil, Voice4Blind: The talking braille keyboard to assist the visual impaired users in text messaging, in 4th International Conference on User Science and Engineering (i-USEr) (2016)
I. Isewon, J. Oyelade, O. Oladipupo, Design and implementation of text to speech conversion for visually impaired people. Int. J. Appl. Inf. Syst. (IJAIS) 7(2) (2014). ISSN: 2249-0868
M. Kaur, M. Sandhu, N. Mohan P.S. Sandhu, RFID technology principles, advantages, limitations and its applications. Int. J. Comput. Electr. Eng 3(1), 1793–8163 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Prajapati, N.K., Krithiga, S., Jana, A., Anand, T., Kaur, B. (2022). OCR-Based Assistive System for Blind People. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol 1340. Springer, Singapore. https://doi.org/10.1007/978-981-16-1249-7_8
Download citation
DOI: https://doi.org/10.1007/978-981-16-1249-7_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1248-0
Online ISBN: 978-981-16-1249-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)