Cane Free Obstacle Detection Using Sensors and Navigational Guidance Using Augmented Reality for Visually Challenged People

  • Sriram RamachandranEmail author
  • Prashant R. Nair
  • Shriram K. Vasudevan
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)


The project concentrates on obstacle detection for visually impaired people using IR, Ultrasonic sensors and TSOP receiver which is of less cost, fast and efficient. Shortest distance algorithm is the method used to find the obstacles at each region sent from the TSOP receiver mounted on each angles. This works in environments such as indoor and outdoor. Experience comes from learning and the important requirements for learning will be the sense of vision of what normal human being sees and observes in the real world. But in the case of VI people, sense of vision will not help them in learning where other senses like ears, touch, smell helps them in various situations. The whole setup is wearable and lightweight mounted on a belt to make the VI people to walk into any situation like pits, steps by providing haptic feedback as the output. The project uses Arduino mega which helps us to program ease and also helps in testing various parameters with the available open source library routines. Since the targeted user is VI people, navigational guidance can be done through Augmented Reality domain as the technology is growing wide and can give more reliable to the user.


Visually impaired (VI) Arduino mega Obstacle detection Haptic feedback Augmented reality 


  1. 1.
    Statistical Report—Total Disabled Population in World from World Health OrganizationGoogle Scholar
  2. 2.
    Dakopoulos, D., Bourbakis, N.G.: Wearable obstacle avoidance electronic travel aids for blind: a survey. IEEE Trans. Syst. Man Cybern. Part C (Applications and Reviews) 40(1), 25–35 (2010)Google Scholar
  3. 3.
    Ulrich, I., Borenstein, J.: The GuideCane-applying mobile robot technologies to assist the visually impaired. IEEE Trans. Syst. Man Cybern. Part A Syst. Humans 31(2), 131–136 (2001)CrossRefGoogle Scholar
  4. 4.
    Ito, K., Okamoto, M., Akita, J., Ono, T., Gyobu, I., Takagi, T., Hoshi, T., Mishima, Y.: CyARM: an alternative aid device for blind persons. In: CHI’05 Extended Abstracts on Human Factors in Computing Systems 2005 Apr 2. ACM, pp. 1483–1488 (2005)Google Scholar
  5. 5.
    Johnson, L.A., Higgins, C.M.: A navigation aid for the blind using tactile-visual sensory substitution. In: Engineering in Medicine and Biology Society, 2006. EMBS’06. 28th Annual International Conference of the IEEE 2006 Aug 30, pp. 6289–6292. IEEE (2006)Google Scholar
  6. 6.
    Ran, L., Helal, S., Moore, S.: Drishti: an integrated indoor/outdoor blind navigation system and service. In: Pervasive Computing and Communications, 2004. PerCom 2004. Proceedings of the Second IEEE Annual Conference on 2004 Mar 14, pp. 23–30. IEEE (2004)Google Scholar
  7. 7.
    Rey, M., Hertzog, I., Kagami, N., Nedel, L.: Blind guardian: a sonar-based solution for avoiding collisions with the real world. In: Virtual and Augmented Reality (SVR), 2015 XVII Symposium on 2015 May 25, pp. 237–244. IEEE (2015)Google Scholar
  8. 8.
    Chaccour, K., Eid, J., Darazi, R., el Hassani, A.H., Andres, E.: Multisensor guided walker for visually impaired elderly people. In: 2015 International Conference on Advances in Biomedical Engineering (ICABME) 2015 Sep 16, pp. 158–161. IEEE (2015)Google Scholar
  9. 9.
    Thakur, N., Wasson, V.: Obstacle detection from still images using improved background subtraction method. Indian J. Sci. Technol. 9(31) (Aug 24, 2016)Google Scholar
  10. 10.
    Malhotra, S., Bhosale, S., Joshi, P., Karthikeyan, B.: Blockage detection in seeder. In: Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), World Conference on 2016 Feb 29, pp. 1–4. IEEE (2016)Google Scholar
  11. 11.
    Nazma, S., Kamesh, D.B., Sastry, J.K., Venkateswarlu, S.: Camera based text to speech conversion, obstacle and currency detection for blind persons. Indian J. Sci. Technol. 9(30) (Aug 17, 2016)Google Scholar
  12. 12.
    Geethan, P., Jithin, P., Naveen, T., Padminy, K.V., Krithika, J.S., Vasudevan, S.K.: Augmented reality x-ray vision with gesture interaction. Indian J. Sci. Technol. 8(S7), 43–47 (2015)CrossRefGoogle Scholar
  13. 13.
    Sundaram, V.M., Vasudevan, S.K., Santhosh, C., Kumar, R.B., Kumar, G.D.: An augmented reality application with leap and android. Indian J. Sci. Technol. 8(7), 678–682 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  • Sriram Ramachandran
    • 1
    Email author
  • Prashant R. Nair
    • 1
  • Shriram K. Vasudevan
    • 1
  1. 1.Department of Computer Science and Engineering, Amrita School of EngineeringAmrita Vishwa VidyapeethamCoimbatoreIndia

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