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Smart Helmet with Cloud GPS GSM Technology for Accident and Alcohol Detection

  • Praveen M. Dhulavvagol
  • Ranjitha Shet
  • Prateeksha Nashipudi
  • Anand S. Meti
  • Renuka Ganiger
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)

Abstract

Today in India and most other countries, accident is considered as an unexpected and unintended event. According to the survey road accidents lead to hospitalization, injuries and disabilities, considering these facts the safety of the riders has become a most crucial and important issue and concern in majority of the countries. The usage of two wheeler’s vehicles is increasing day by day for transport convenience we need to have proper safety and efficient measures to handle accidents. In the proposed paper we discuss smart helmet system using cloud and GPS technology for accident detection and location tracking, GSM is used to send a notification message of accident location to the concerned people to avoid major casualty/life of the person can be saved. MQ3 sensor is also embedded in the helmet to check whether the motorcyclist has consumed alcohol or not. The sensor data captured is stored in the cloud so that the accident information can be fetched anywhere and anytime at a faster rate. Considering the above facts, the prototype of smart helmet is designed and implemented to enhance the safety of the motorcyclist. This new idea will reduce the risk of motorcyclist life. The experimental results confined that the developed prototype model gives 84% accurate result of the accident detection and concerned persons will receive notification message.

Keywords

Mem’s sensor MQ3 sensor GPS technology Latitude Longitude 

References

  1. 1.
    Chandran, S., Chandrasekar, S., Elizabeth, N.E.: Konnect: an Internet of Things (IoT) based smart helmet for accident detection and notification. In: 2016 IEEE Annual India Conference (INDICON), pp. 1–4. IEEE, December 2016Google Scholar
  2. 2.
    Srikrishnan, A., Kumar, K.S., Ravi, S.: Cloud incorporated smart helmet integrated with two-wheeler communication setup. IJCTA 9(4), 2025–2035 (2016)Google Scholar
  3. 3.
    Lakshmi Devi, P., Bindushree, R., Deekshitha, N.M., Jeevan, M., Likhith, M.P.: Helmet using GSM and GPS technology for accident detection and reporting system. Int. J. Recent Innov. Trends Comput. Commun. 4(5), 18–21 (2016). ISSN: 2321-8169Google Scholar
  4. 4.
    Wei, W., Hanbo, F.: Traffic accident automatic detection and remote alarm device. In: 2011 International Conference on Electric Information and Control Engineering (ICEICE), pp. 910–913. IEEE, April 2011Google Scholar
  5. 5.
    Jung, S., Shin, H., Yoo, J., Chung, W.: Highly sensitive driver condition monitoring system using nonintrusive active electrodes. In: Proceedings of the IEEE ICCE, Las Vegas, NV, USA, pp. 305–306 (2012)Google Scholar
  6. 6.
    Abduljalil, F.M.: A framework for vehicular accident management using wireless networks. In: 2012 IEEE 13th International Conference on Information Reuse and Integration (IRI), pp. 727–729. IEEE, August 2012Google Scholar
  7. 7.
    Donnelly, B.R., Schabel, D.G.: Method and apparatus for automatic vehicle event detection, characterization and reporting. U.S. Patent No. 6,076,028. U.S. Patent and Trademark Office, Washington, DC (2000)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.KLE Technological UniversityHubballiIndia

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