Enhanced Navigation Cane for Visually Impaired
Vision is an important aspect of brain functionality as it allows us to view our surroundings, and maintain the incisiveness of our mind. For a blind person, to walk without resistance, is the most difficult task. Visually impaired are compelled to depend on others for conducting daily activities, especially walk outdoor. As a humanitarian service, our paper aims to help the blind people to walk independently and enjoy the freedom of walking. The model we present here act as a virtual eye to the visually disabled persons, which helps them to navigate to their destinations without the help of others. This model uses a mobile app, concurrent with the lately developed system using the fundamental principles of Arduino Uno board is based on ATmega328 microcontroller. This module is appended to a walking stick so that it is manageable by a blind person. The sensor in the apparatus returns the span warns with a sound alert if any target can be deleterious to the blind person. The system brings a new domain, Internet of Things (IoT), to the fore of the blind people, to make their existence uncomplicated.
KeywordsGPS Ultrasonic sensor Arduino UNO board Google API
We are extremely thankful to Mr Krishnan (name changed), resident of Clappana Panchayath who is visually impaired, for his co-operation and suggestions in the improvement of the model. We would also like to thank the IoT lab, under Computer Science Engineering Department, at Amrita University, for providing the required facilities.
- 2.Rajesh Kannan Megalingam, Aparna Nambissan, Anu Thambi, Anjali Gopinath, Megha Nandakumar, Sound and Touch based Smart Cane: Better Walking Experience for Visually Challenged, 2014 IEEE Canada International Humanitarian Technology Conference - (IHTC)Google Scholar
- 3.A. jin Fukasawa and Kazusihge Magataniopinath, Megha Nandakumar, A navigation system for visually impaired an intelligent white cane, 34th Annual International Conference of the IEEE EMBS San Diego, California USA, 28 August–1 September, 2012Google Scholar
- 4.Pankti Doshi, Pooja Jain, Abhishek Shakwala, Location Based Services and Integration of Google Maps in Android, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3 Issue 3 March, 2014 Page No. 5072–5077Google Scholar
- 5.Sharang Sharma, Manind Gupta Amit Kumar Meenakshi Tripathi, Manoj Singh Gaur, Multiple Distance Sensors Based Smart Stick for Visually Impaired PeopleGoogle Scholar
- 6.Ananth Noorithaya, Kishore Kumar M, Dr. Sreedevi A., Voice Assisted Navigation System for the Blind, Proceedings of International Conference on Circuits, Communication, Control and Computing (I4C 2014)Google Scholar
- 7.Tarun Sharma, J H M Apoorva, Ramananathan Lakshmanan, Prakruti Gogia, Manoj Kondapaka, NAVI: Navigation Aid for the Visually Impaired, International Conference on Computing, Communication and Automation (ICCCA2016)Google Scholar
- 8.Aniqua Nusrat, Zereen, Sonia Corraya, Detecting Real Time Object Along with the Moving Direction for Visually Impaired, 2nd International Conference on Electrical, Computer Telecommunication Engineering (ICECTE) 8–10 December 2016, Rajshahi-6204, BangladeshGoogle Scholar
- 9.Sethuraman N Rao, Aswathy VR, An Electronic Escort for the Visually Challenged, 2016 IEEE International Conference on Computational Intelligence and Computing ResearchGoogle Scholar