Skip to main content

IoT-Based Smart Car for Safety of Elderly People

  • Conference paper
  • First Online:

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 141))

Abstract

The advancement in the technology has made the automobiles become feasible, scalable, and faster. There is an enormous increase in the vehicles’ quantity in the past 10 years. But the safety of people driving still remains the major concern as with the increase in the number of vehicles there is an increase in the number of accidents. Presently, the steps taken for the safety of drivers until now are unable to provide the complete solution. There are some situations when drivers especially the elderly ones are unable to drive carefully and thus leading to the accidents. If the services provided by the automobiles manufactures are proper enough then several fatal road accidents can be avoided. The condition of the driver and vehicle should be monitored at regular instants while driving in order to maintain the safety on the road. If all the information about the driver is monitored and there is a case of emergency then SOS is sent to the interested people, then several lives can be saved. In this paper, the network of sensors is used to monitor the condition of the driver. The eye blink sensor, the GSR sensor, the vision sensor, alcohol gas sensor, comfort sensors, sensors related to the vehicle condition, weather sensors, road sensors, and others can be used to monitor the condition of the driver, vehicle, and the surroundings. The sensed data gets monitored and analyzed by RPi and then depending on the results the commands are given to the vehicle. In case of emergency situation, the SOS is sent to the other people so that people belonging to the driver can come for the rescue.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. The postscapes: website link. https://www.postscapes.com/internet-of-things-protocols/

  2. WHO. http://www.who.int/gho/roadsafety/mortality/en/

  3. Arduino: official website. https://www.arduino.cc/en/Guide/Introduction

  4. Chaudhari, H.: Raspberry Pi technology: a review. Int. J. Innov. Emerg. Res. Eng. 23 (2015)

    Google Scholar 

  5. Raspberry Pi education manual, version 1.0 (2012)

    Google Scholar 

  6. Zhao, C.W., Jegatheesan, J., Loon, S.C.: Exploring IOT application using Raspberry Pi. Int. J. Comput. Netw. Appl. 21 (2015)

    Google Scholar 

  7. Chen, H., Jia, X., Li, H.: A brief Introduction to IOT gateway. In: Proceedings of ICCTA, Network Technology Research Center (2011)

    Google Scholar 

  8. Internet of things protocols and standards. https://www.cse.wustl.edu/∼jain/cse570-15/ftp/iotprot/pchal4

    Google Scholar 

  9. Gupta, K., Rakesh, N.: IoT-based solution for food adulteration. In: SSIC, vol. 79 (2018)

    Google Scholar 

  10. Gupta, K., Rakesh, N., Faujdar, N.: IoT based automation and solution for medical drug storage: smart drug store. In: 8th ICCCDS and Engineering (2018)

    Google Scholar 

  11. Yadav, A., Rakesh, N., Pandey, S., Singh, R.K.: IoTEE-an integrated framework for rapid trusted IOT application development. In: IEEE International Conference on Recent Trends in Electronics Information Communication Technology, pp. 1829–1834 (2016)

    Google Scholar 

  12. Mangla, J., Rakesh, N., Matam, R.: Analysis of mobility aware routing protocol for underwater wireless sensor network. In: Proceedings of First International Conference on Smart System, Innovations and Computing. Springer, Singapore (2018)

    Google Scholar 

  13. Rakesh, N., et al.: Linear-code multicast on parallel architectures. Adv. Eng. Softw. 42, 1074–1088 (2011)

    Article  Google Scholar 

  14. Faujdar, N., Ghrera, S.P.: Modified levels of parallel odd-even transposition sorting network (OETSN) with GPU computing using CUDA. Pertanika J. Sci. Technol. 24, 331–350 (2016)

    Google Scholar 

  15. Kaduskar, V.P., Gupta, N., Bhardwaj, Y., Kumar, S.: IOT based lab automation system. Int. J. Curr. Eng. Sci. Res. (IJCESR) 46, 113–117 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karan Gupta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gupta, K., Rakesh, N., Faujdar, N., Gupta, N., Vaswani, D., Shivran, K.S. (2020). IoT-Based Smart Car for Safety of Elderly People. In: Somani, A.K., Shekhawat, R.S., Mundra, A., Srivastava, S., Verma, V.K. (eds) Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-13-8406-6_12

Download citation

Publish with us

Policies and ethics