Automobile Collision Detection System Using GSM and GPS

Year : 2023 | Volume :01 | Issue : 01 | Page : 15-19
By

Niraj Damakale,

Sahil Naik,

Siddharth Kirad,

Omkar Sonawane,

Kamlesh Mahajan,

  1. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  2. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  3. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  4. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  5. Assistant Professor, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India

Abstract

The accelerometer detects changes in the vehicle’s axis and the GSM module sends an alert message to the phone indicating the location of the event. Advanced technology makes our daily life easier. Because every coin has two sides, technology has both strengths and weaknesses. The development of technology has increased the number of traffic accidents, resulting in numerous deaths. The poor medical facilities that exist in our country exacerbate the problem. Our project will help you solve this problem. Road accidents continue to be a serious threat to property and human lives. It is essential to have sophisticated collision detection technologies to lessen the impact and aftereffects of car accidents. This research study suggests a novel method for an Automobile Collision Detection System that makes use of Global Positioning System and Global System for Mobile Communications technology. By properly detecting and reporting crashes in real-time, the suggested system intends to enable quick emergency action and maybe save lives.

Keywords: Arduino, GSM, GPS, LCD display, vibration sensor

[This article belongs to International Journal of Manufacturing and Production Engineering (ijmpe)]

How to cite this article:
Niraj Damakale, Sahil Naik, Siddharth Kirad, Omkar Sonawane, Kamlesh Mahajan. Automobile Collision Detection System Using GSM and GPS. International Journal of Manufacturing and Production Engineering. 2023; 01(01):15-19.
How to cite this URL:
Niraj Damakale, Sahil Naik, Siddharth Kirad, Omkar Sonawane, Kamlesh Mahajan. Automobile Collision Detection System Using GSM and GPS. International Journal of Manufacturing and Production Engineering. 2023; 01(01):15-19. Available from: https://journals.stmjournals.com/ijmpe/article=2023/view=127588

Browse Figures

References

  1. Syedul Amin Md, Bhuiyan MAS, Reaz MBI, Nasir SS. GPS and map matching based vehicle accident detection system. Proceedings of the IEEE Student Conference on Research and Development (SCOReD); Dec 16-17; Putrajaya, Malaysia: IEEE; 2013.
  2. Varma SKC. Poornesh, Varma, T. and Harsha. Int J Sci Eng Res. Automatic vehicle accident detection and messaging system using GPS and GSM modems. Int J Eng Trends Technol. 2013; 67 (8): 69–72.
  3. Nazir, Rashida, et al. “Accident prevention and reporting system using GSM (SIM 900D) and GPS (NMEA 0183).” Int’l J. of Communications, Network and System Sciences 2014 (2014).
  4. Thakor N, Vyas T, Shah D. Automatic vehicle accident detection system based on ARM & GPS. Int J Res Technol Stud. 2013; 1.
  5. Ramadan MN, Al-Khedher MA, Al-Kheder SA. Intelligent anti-theft and tracking system for automobiles. Int J Mach Learn Comput. 2012. doi:10.7763/IJMLC.2012.V2.94.
  6. Mandal, Koushik, et al. “Road traffic congestion monitoring and measurement using active RFID and GSM technology.” 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2011.
  7. Mazidi MA, Mazidi JG. The 8051 microcontroller and embedded systems. Upper Saddle River, NJ: Pearson Education, Prentice Hall Publication.
  8. Dangat PMT, Lonkar A, Bharambe N, Pujari R, Surana R. GSM and GPS based accident detection system. Int J Res Appl Sci Eng Technol. 2022; 10 (5): 2537–2538. doi: 10.22214/ijraset.2022.42899.
  9. Anitha T, Uppalaigh T. Android based home automation using Raspberry pi. Proc IEEE; 4 (1): 2351–2355.
  10. Nwankwo W, Adetunji CO, Olayinka AS. IoT-driven Bayesian learning: a case study of reducing road accidents of commercial vehicles on highways. In: Artificial Intelligence-based Internet of Things Systems. Berlin, Germany: Springer Nature; 2022: pp. 391–418.

Regular Issue Subscription Review Article
Volume 01
Issue 01
Received 25/06/2023
Accepted 10/07/2023
Published 29/11/2023