Accident Detection, Prevention and Alert System

Authors

  • Prof. Vyavhare. V. A  Parikrama College of Engineering, Kashti, Maharashtra, India
  • Rajashri Kharait  Parikrama College of Engineering, Kashti, Maharashtra, India
  • Pooja Kulkarni  Parikrama College of Engineering, Kashti, Maharashtra, India
  • Yogesh Pol  Parikrama College of Engineering, Kashti, Maharashtra, India

Keywords:

GSM, GPS, MQ3 sensor, Arduino mega2560, LCD, Vibration sensor, Power supply

Abstract

It is observed that, the major hindrance on road is due to heavy traffic flow during peak hours especially when people commute to work. The total number of vehicles or objects exceeds its capacity by causing a blockage for emergency vehicles such as fire fighter and rescue vehicles, furthermore wastage of fuels adds more to the environmental pollution which is not adoptable for a country’s economic growth. In order to develop an efficient, reliable, cleaner and safer mode of transportation, it is necessary to make the road transportation system automated as much as possible. To track the vehicle, we need to send the message to GSM device, so that it gets activated. It also gets activated by detecting the accident on the vibration sensor connected to the Arduino UNO controller. Once the GSM is activated it receives the last latitude and longitude position value and send message to the emergency server which is predefined in the program.

References

  1. Hemangi S. Badhan, 2Shruti K. Oza Electronics, Computers and Artificial Intelligence (ECAI). Accident Detection Using Raspberry Pi.
  2. Apeksha P Kulkarni, Vishwanath P Baligar Real Time Vehicle Detection, Tracking and Counting Using Raspberry-Pi on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).
  3. Bruno Eraldo, Heyul Chavez-Arias Design of a control and monitoring system to reduce traf?c accidents due to drowsiness through image processing.
  4. Md. Yousuf Hossain , Fabian Parsia George IOT based Real-time Drowsy Driving Detection System for the Prevention of Road Accidents.
  5. Mr. S. S. Kulkarni1 (PG Student), Mr. A. V. Thakur2 Image Processing for Driver’s Safety and Vehicle Control using Raspberry Pi and Webcam.

Downloads

Published

2023-06-30

Issue

Section

Research Articles

How to Cite

[1]
Prof. Vyavhare. V. A, Rajashri Kharait, Pooja Kulkarni, Yogesh Pol "Accident Detection, Prevention and Alert System " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 3, pp.133-136, May-June-2023.