Advertisement

Emergency Alert to Safeguard the Visually Impaired Novice Using Internet of Things

  • M. SubathraEmail author
  • G. Akalya
  • P. Madhumitha
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)

Abstract

Recognizing a crisis with help of sensors and controls the situation by announcing them to the Real world, that worry calamity group makes suitable move to protect the costless. Methods/Analysis: Internet of things is system that controls the interconnected things which are implanted with sensors, programming that empowers to gather and trade information. These physical articles are controlled remotely with sufficient system foundations. The absence of help administrations can make outwardly impeded individuals excessively reliant on their families, which keep them from being financially dynamic and socially included. IoT can offer individuals with handicaps the help and supports greatly to accomplish a decent personal satisfaction and enables them to get appropriate instruction without dangers. Findings: For this reason the proposed engineering of web of things is to screen the vehicle by utilizing Raspberry controller and it set forth numerous highlights to recognize the purpose behind happening accidents and furthermore protects the outwardly weakened victims from the accidents or dangers. Applications/Improvements: Distinctive application things are taken into issues the tip goal to indicate the collaboration of the segments of internet of things. While the proposed work will be a keen ready framework to different components without human mediation. Basic difficulties have been distinguished and tended to particular.

Keywords

Emergency Radio Frequency Identification GPS MEMs Accident Detection Sensors 

Notes

Acknowledgement

We the members of this project, acknowledge our sincere gratitude for the excellent support extended to us by the management (Panimalar Engineering college, Chennai) for providing all the required facilities. Our sincere thanks go to our respectful guide who has extended her support throughout the entire project with his valuable suggestions and guidance.

References

  1. 1.
    Singh, A.P., Agarwal, P.K., Sharma, A.: Road safety improvement: a challenging issue on Indian roads. Int. J. Adv. Eng. Technol. 2, 363–369 (2011)Google Scholar
  2. 2.
    Choudhari, S., Rasal, T., Suryawanshi, S., Mane, M., Yedge, S.: Survey paper on internet of things: IoT. Int. J. Eng. Sci. Comput. 7, 10564–10567 (2017)Google Scholar
  3. 3.
    Suganya, N., Vinothini, E.: Accident alert and event localization. Int. J. Eng. Innov. Technol. 3, 53–54 (2014)Google Scholar
  4. 4.
    Sawant, K., Bhole, I., Kokane, P., Doiphode, P., Thorat, Y.: Accident alert and vehicle tracking system. Int. J. Innov. Res. Comput. Commun. Eng. 4, 8619–8623 (2016)Google Scholar
  5. 5.
    Wang, Y., Yang, J., Liu, H., Chen, Y., Gruteser, M., Martin, R.P.: Sensing vehicle dynamics for determining usage of phone. In: ACM 11th Annual International Conference on Mobile System, Applications and Services, pp. 41–54 (2015)Google Scholar
  6. 6.
    Fernandes, B., Gomes, V., Ferreira, J., Oliveir, A.: Mobile application for automatic accident detection and the multimodal alert, vol. 3, pp. 1–11 (2016)Google Scholar
  7. 7.
    Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of things for smart cities. IEEE. 1, 22–35 (2014)Google Scholar
  8. 8.
    Praveena, V., Sankar, A.R., Jeyabalaji, S., Srivatsan, V.: Efficient accident detection and rescue system using ABEONA algorithm. Int. J. Emerg. Trends Technol. Comput. Sci. 3, 222–225 (2014)Google Scholar
  9. 9.
    Ali, H.M., Alwan, Z.S.: Car accident detection and notification system using smartphone. Int. J. Comput. Sci. Mob. Comput. 4, 620–635 (2015)Google Scholar
  10. 10.
    Cevher, V., McClellan, J.H.: Vehicle speed estimation using acoustic wave patterns. IEEE Trans. Signal Proc. 57, 31–47 (2009)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Fernandes, J.N.O.: Real-time embedded system for monitoring of cargo vehicles using controller area network. IEEE Lat. Am. Trans. 14, 1086–1092 (2016)CrossRefGoogle Scholar
  12. 12.
    Majumdar, C., Lee, D., Patel, A.A., Merchant, S.N., Desai, U.B.: Packet size optimization for cognitive radio sensor networks aided Internet of Things (2016)Google Scholar
  13. 13.
    Finkenzeller, K.: Fundamentals and Applications in Contactless Smart Cards and Identification. Wiley, Hoboken (2003)Google Scholar
  14. 14.
    Bhavthankar, S., Sayyed, H.G.: Wireless system for vehicle accident detection and reporting using accelerometer and GPS. Int. J. Sci. Eng. Res. 6, 1069–1072 (2016)Google Scholar
  15. 15.
    Goud, V., Padmaja, V.: Vehicle accident automatic detection and remote alarm device. Int. J. Reconfigurable Embedded Syst. 1, 49–54 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Panimalar Engineering CollegeChennaiIndia

Personalised recommendations