Skip to main content
SpringerLink
Log in

A Proposed IoT Approach Based-Vision for the Visually Impaired People Assistance

  • Conference paper
  • First Online:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) (AI2SD 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1417))

  • 1006 Accesses

Abstract

Self-navigating in an unfamiliar environment independently is one of the biggest challenges faced by people with visual impairment. It has become difficult for them to keep a track of their routine environments without depending on their other sense, assisting tools or sighted people. Our main goal is to come up with a new approach with an eye to assist this category of our society in all environment’s kind, based on IoT technologies, computer vision and smart glasses. In this paper, we propose an IoT architecture and its components to connect the wearing glasses in order to share and collect data and information about the navigation environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. World Health Organization: Blindness and vision impairment. Accessed 2019, https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment

  2. Evans, D.: The Internet of Things how the next evolution of the internet is changing everything. In: The Cisco White Paper (2011)

    Google Scholar 

  3. Xia,F., Yang, L. T., Wang, L., Vinel, A.: Internet of things. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119359715, Accessed 29 Aug 2012

  4. Feeney, J.: The Energy Internet of Things, Construction 21 France. https://www.construction21.org/articles/h/the-energy-internet-ofthings.html, Accessed 17 Aug 2016

  5. Chafi, F.Z., Fakhri, Y.: The integration of multi agent system within the Internet of Things: the use of SigFox shield as a network. In: SCA’18, October 2018, FST, Tetouan, Morocco. Morgan Kaufmann (2018)

    Google Scholar 

  6. Sundmaeker, H.: Vision and challenges for realising the Internet of Things. In: Cluster of European Research Project on the Internet of Thing. CERP-IOT (2010)

    Google Scholar 

  7. Veltkamp, R.C.: Shape matching: similarity measures and algorithms. In: SMI 2001 International Conference on Shape Modeling and Applications, pp. 188-197. IEEE (2001)

    Google Scholar 

  8. Ait HAmou Aadi, F.Z, Sadiq, A., Souhar, A. : Introduction to the environment understanding for the visually impaired assistance: Object detection and image segmentation. In: Third International Conference on Intelligent Computing in Data Sciences (ICDS). IEEE (2019)

    Google Scholar 

  9. Perrone, G., Vecchio, M., Del Ser, J., Antonelli, F., Kapoor, V.: The Internet of things: a survey and outlook, In: Sensors in the Age of the Internet of Things: Technologies and applications (2019)

    Google Scholar 

  10. Jorge, B., Lacroix, B., Proux, A., Les protocoles de réseau de l’internet des objets : vulnérabilités connues, eng: The network protocols of the Internet of Things: known vulnerabilities. unpublished, 2021

    Google Scholar 

  11. IoT Standards and Protocols Guide-Protocols of the Internet of Things (2019). https://www.avsystem.com/blog/iot-protocols-and-standards/

  12. Jasenka, D., Francisco, C., Admela, J., Xavi, M.: A survey of communication protocols for internet of things and related challenges of fog and cloud computing integration. ACM Comput. Surv. 51, 1–29 (2019)

    Google Scholar 

  13. Lee, I., Lee, K.: The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus. Horizons 58(4), 431–440 (2015)

    Article  Google Scholar 

  14. Zaidan, A., et al.: A survey on communication components for IoT-based technologies in smart homes. Telecommun. Syst. 69, 1–25 (2018)

    Article  Google Scholar 

  15. Wang, W., Marinca, D.: Comparative analysis of channel models for industrial IoT wireless communication. In: Digital Object Identifier (2019)

    Google Scholar 

  16. Aadi, F.Z.A.H., Sadiq, A.: Proposed real-time obstacle detection system for visually impaired assistance based on deep learning. Int. J. Adv. Trends Comput. Sci. Eng. 9(4), 6649–6652 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Information Modeling and Communication Systems Laboratory, Ibn Tofail University, Kenitra, Morocco

    Fatima Zahrae Ait Hamou Aadi & Abdelalim Sadiq

  2. The Laboratory of Research in Computer Sciences and Telecommunication, Ibn Tofail University, Kenitra, Morocco

    Fatima Zahra Chafi

Authors
  1. Fatima Zahrae Ait Hamou Aadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abdelalim Sadiq
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fatima Zahra Chafi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fatima Zahrae Ait Hamou Aadi .

Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ait Hamou Aadi, F.Z., Sadiq, A., Chafi, F.Z. (2022). A Proposed IoT Approach Based-Vision for the Visually Impaired People Assistance. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_17

Download citation

Publish with us

Policies and ethics

Search

Navigation