Low cost audio based intelligent guidance system for visually impaired people
DOI:
https://doi.org/10.61841/zjveh137Keywords:
Smart glass, OCR (Optical Recognition System), ultrasonic sensor, ETA, cameraAbstract
In this paper we are proposing the IoT-based intelligent guidance and navigation system for visually impaired persons with low cost. As a visually impaired person continuously requires assistance and monitoring of other people for their mobility, health, and routine, they are more dependent on other people. They can use only their senses, such as by sound or by feel and touch, and moreover, they use a stick to navigate, which is not much help. As they face issues in communicating easily with the surroundings. In order to solve the traveling issue, we are presenting a lightweight, intelligent guiding system in the shape of a pair of glasses, which will provide guidance properly. As IoT has changed the whole industry, our proposed system for the navigation system includes some sensors like an ultrasonic distance sensor, GPS, and a camera, which is being mounted on a Raspberry Pi board. This detects the obstacles in their path to navigate themselves in different locations efficiently and safely. The information about the obstacle and the text that is present in front of the user is being informed to the visually impaired person through an audio device, which can be earphones, and if any issue arises regarding the audio, which can be due to a noisy environment, the person is being informed through vibration. The camera module captures the object and informs the user what it is. This system continuously monitors the real-time environment to avoid the obstacles. Sensors play the key role in the whole system to detect and guide the visually impaired person.
Downloads
References
[1] B. Söveny, G. Kovács and Z. T. Kardkovács, “Blind guide—A virtual eye for guiding indoor and outdoor
movement,” in 2014 5th IEEE Conf. Cognitive Infocommunications (CogInfoCom), Vietrisul Mare, 2014,
pp. 343-347.
[2] L. Tian, Y. Tian and C. Yi, “Detecting good quality frames in videos captured by a wearable camera for
blind navigation,” in 2013 IEEE Int. Conf. Bioinformatics and Biomedicine, Shanghai, 2013, pp. 334-337.
[3] J. Brabyn, W. Gerrey, T. Fowle, A. Aiden, and J. Williams. (1989). Some Practical Vocational Aids for the
Blind. Proc. of 11th Annual International Conference of IEEE Engineering in Medicine & Biology Society,
pp. 1502-1503
[4] D. Dakopoulos and N. G. Bourbakis, “Wearable obstacle avoidance electronic travel aids for blind: A
survey,” IEEE Trans. Systems, Man, Cybern., vol. 40, no. 1, pp. 25-35, Jan. 2010
[5] Raga Shoval, Iwan Ulrich2, Johann Borenstein, NAVBELT AND GUIDECANE Robotics-Based Obstacle Avoidance System for the Blind and Visually Impaired. Invited article for the IEEE Robotics and
Automation Magazine, Special Issue on Robotics in Bio-Engineering. Vol. 10, No. 1, March 2003, pp. 9-20
[6] Arturo De La Escalera, Luis E Moreno, Miguel Angel Salichs, and José María Armingol, “Road traffic
sign detection and classification,” Industrial Electronics, IEEE Transactions on, vol. 44, no. 6, pp. 848–
859, 1997
[7] Md. Razu Miah, Md. Sanwar Hussain, “A Unique Smart Eye Glass for Visually Impaired People”,
International Conference on Advancement in Electrical and Electronic Engineering, 22-24 November, 2018
[8] Rohit Agarwal, Nikhil Ladha, Mohit Agarwal, Kuntal Kr. Majee, Abhijit Das, Subham Kumar, Subham Kr.
Rai, Anand Kr. Singh, SomenNayak, ShopanDey, RatulDey, Himadri Nath Saha, “Low Cost Ultrasonic
Smart Glasses for Blind”, IEEE, 2017
[9] Feng Lan, GuangtaoZhai, Wei Lin, “Lightweight Smart Glass System with Audio Aid for Visually
Impaired People”, TENCON 2015—2015 IEEE Region 10 Conference
[10] Jinqiang Bai, ShiguoLian, “Smart Guiding Glasses for Visually Impaired People in Indoor Environment”,
IEEE Transactions on Consumer Electronics, Vol. 63, No. 3, August 2017
[11] Constantino Alvarez Casado, Miguel Bordallo López, JukkaHolappa and MattiPietikainen, “Face
Detection and Recognition for Smart Glasses” in 5th Asia-Pacific Workshop on System, page 10. ACM,
2014
[12] DiwakaSrinath A1, Praveen Ram A.R2, Siva R3, Kalaiselvi V.K.G4, Ajitha G5, “HOT GLASS-Human
Face, Object recognition for visually impaired people”, 978-1-5090-6221-8/17/$31.00 c@2017 IEEE
[13] Shah, A., Sanghvi, K., Sureja, D., Seth, A.K. Insilico drug design and molecular docking studies of some
natural products as tyrosine kinase inhibitors (2018) International Journal of Pharmaceutical Research, 10
(2), pp. 256-260. https://www.scopus.com/inward/record.uri?eid=2-s2.0-
85048562024&partnerID=40&md5=3313850ccfd5904f1260bf97f6fff4c3
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
