International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Smart Driving System for Human Safety with Help of Advanced Microcontroller and Zigbee Technology

Ms.M.SaranyaAssistant Professor, Department of ECE, AVS College of Technology, Tamilnadu, IndiaMr.C.R.PrabakaranAssistant Professor, Department of ECE, AVS College of Technology, Tamilnadu, IndiaK.PriyadharshiniUG Student, Department of ECE, AVS College of Technology, Tamilnadu, IndiaV.DivyambariUG Student, Department of ECE, AVS College of Technology, Tamilnadu, IndiaK.JayamaniUG Student, Department of ECE, AVS College of Technology, Tamilnadu, India

Vol 4 No 5 (2020): Volume 4, Issue 5, May 2020 | Pages: 97-100

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 07-06-2020

doi Logo

pdf iconFull Text PDF
Abstract

For the past few years, many people are suffered and died due to road accidents. These accidents are caused because of drunken people and mainly due to riding high speed. The probabilities of two wheeler accidents are increased randomly day to day. Main motive of this paper is reducing these accidents by providing safety device which is integrated with the smart helmet. Some other problems are arises because of improper wearing of helmet. This system also used to reduce the rate of vehicle theft. This method is developed by using zigbee technology and sensors like gas sensor and IR sensor. Gas sensor is used to detect whether the person drunken or not. IR sensor is used to predict the person wearer the helmet or not. If the person didn’t wear, the bike will not start. The ignition system gets OFF, due to the person who is consumed alcohol. When a person needs to start the vehicle, he or she should provide password. Any accidents occur, the information is sending to nearest hospital by GPS and GSM module.

Keywords

IR, GPS, GSM, Zigbee, Advanced Microcontroller, Smart Driving, Human Safety


Citation of this Article

Ms.M.Saranya, Mr.C.R.Prabakaran, K.Priyadharshini, V.Divyambari, K.Jayamani, “Smart Driving System for Human Safety with Help of Advanced Microcontroller and Zigbee Technology” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 4, Issue 5, pp 97-100, May 2020. 

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. V. Melcher, F. Diederichs, R. Maestre, C. Hofmann, J.M.Nacenta, J. Van Gent, D. Kusic and B. Z agar, “Smart vital signs and accident monitoring system for motor cyclists embedded in helmets and garments for advanced e-call emergency assistance and health analysis monitoring” Procedia Manufacturing, vol. 3, pp. 3028-3213, 2015.
  2. White, C. Thompson, H. Tuner, B. Dougherty and D. C. Schmidt, “Wreckwatch: Automatic traffic accident detection and notification with smartphones” Mobile Networks and Applications, vol. 16, no. 3, p. 285, 2011.
  3. S.K..C.Varma and T.V.Poornesh, “Harsha, Automatic Vehicle Accident Detection and S.K..C.Varma and T.V.Poornesh, “Harsha, Automatic Vehicle Accident Detection and Messaging System Using GPS and GSM Modems.” International Journal of Scientific & Engineering Research, vol. 4, no. 8, p. 1937, 2013.
  4. V. Pravena, A. R. Sankar, S. Jevabalaji, and V. Srivatsan, “Efficient accident detection and recue system using ABEONA algorithm,” International Journal of Emerging Trends and Technology in Computer Science, vol. 3, no. 5, 2014.
  5. B. Kenney, “Dedicated short-range communication (DSRC) standards in the United States,” Proceedings of the IEEE, vol. 99, no. 7, pp. 1162- 1182, 2011.
  6. Lakshmi Devi P, Bindushree R, Deekshita N M, Jeevan M, Likhith, “Smart Helmet Using GSM and GPS Technology accident detection and reporting system”, May-2016.
  7. Abhinav Anand, Kumar Harsh, Kushal Kumar, Sourav Gouthi, “Microcontroller based smart wear for driver safety” April-2015.
  8. Saravana Kumar K, Anjana.B.S, Litto Thomas, Rahul.K.V., “Smart Helmet”, March-2016.
  9. Mohd Kairul Afiq Mohd Rasli, Nina Korlina Madzhi, “Smart helmet with sensors for accident prevention”, International Conference on Electrical, Electronics and System Engineering, Published in IEEE explore, 4&5 December 2013 - Kualalampur, Malaysia.
  10. MS Bhodoria, Ashish Kumar Gupta, AntraUpadhyaya, Keshav Kumar, EktaShroti, “Helmet with Alcohol Sensor”, International Research Journal of Engineering and Technology, Volume:03 Issue:04 April-2014.
  11. Ayush Garg, Swati Gupta, HarpreetKaur, “Smart Helmet”, International Journals of Computer Applications, National Symposium on Modern Information & Communication Technologies for Digital India-2015.
  12. Nitin Agarwal, Anshul Kumar Kumar, Pushpendra Pratap Singh, Rajesh Sahani, “Smart Helmet”, International Research Journal of Engineering and Technology, Volume:02, Issue:02, May-2015.

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.