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1704489PublishedVol 6 · Issue 11

Automatic Vehicle Accident Detection & Alerting System

Saikiran Akash Biradar Saikiran Biradar Suvarna Dr. Dayanand Jamkhandikar

Subject area: Science,Engineering and Technology  ·  Area of research: IoT

Abstract

The main aim of this project is to develop an automatic fatality prevention and Emergency AID system using sensors like ADXL345 MEMS accelerometer, SR04 Ultrasonic sensor, IR Flame sensor for preventing accident and fire detections. The project also aims in tracking of the vehicle using GPS and GSM modules. In case of emergency situations it sends an automatic SMS alerting message to the authorities. Ultrasonic sensor is an echo based sensor which can transmit the sound waves and receives in an echo by using this we can find the distance of the object and prevent the vehicle to hit the object. MEMS is a Micro electro mechanical sensor which is a high sensitive sensor and capable of detecting the tilt used for accident detection. The system consists of cooperative components of MEMS accelerometer sensor, Ultrasonic sensor, IR flame sensor, Arduino microcontroller unit, GPS device and GSM module. In the event of accident, this wireless device will send to mobile phone as a short message indicating the position of vehicle by GPS system to respective authorities, emergency medical service (EMS) and nearest hospital. The threshold algorithm and speed of motorcycle are used to determine fall or accident in real-time.

How to cite this paper

Saikiran, Akash Biradar, Saikiran Biradar, Suvarna, Dr. Dayanand Jamkhandikar "Automatic Vehicle Accident Detection & Alerting System" Iconic Research And Engineering Journals Volume 6 Issue 11 2023 Page 553-558
Saikiran, Akash Biradar, Saikiran Biradar, Suvarna, Dr. Dayanand Jamkhandikar "Automatic Vehicle Accident Detection & Alerting System" Iconic Research And Engineering Journals, vol. 6, no. 11, May. 2023
Saikiran, Akash Biradar, Saikiran Biradar, Suvarna, Dr. Dayanand Jamkhandikar (2023). Automatic Vehicle Accident Detection & Alerting System. Iconic Research And Engineering Journals, 6(11).
Saikiran, Akash Biradar, Saikiran Biradar, Suvarna, Dr. Dayanand Jamkhandikar "Automatic Vehicle Accident Detection & Alerting System" Iconic Research And Engineering Journals, vol. 6, no. 11, May. 2023.
@article{1704489,
      author = {Saikiran, Akash Biradar, Saikiran Biradar, Suvarna, Dr. Dayanand Jamkhandikar},
      title = {Automatic Vehicle Accident Detection & Alerting System},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {11},
      pages = {553-558},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704489.pdf},
      abstract = {The main aim of this project is to develop an automatic fatality  prevention  and  Emergency  AID  system  using sensors  like  ADXL345  MEMS  accelerometer,  SR04 Ultrasonic  sensor,  IR  Flame  sensor  for  preventing accident and  fire  detections.  The  project  also  aims  in tracking  of  the  vehicle  using  GPS  and  GSM  modules. In  case  of  emergency  situations  it  sends  an  automatic SMS  alerting  message  to  the  authorities.  Ultrasonic sensor is  an echo based  sensor which can transmit the sound waves and receives in an echo by using this we can  find  the  distance  of  the  object  and  prevent  the vehicle to hit the object. MEMS is a Micro electro mechanical sensor which is a high  sensitive sensor and  capable  of  detecting  the  tilt used for accident detection. The   system  consists   of  cooperative  components    of    MEMS  accelerometer sensor,  Ultrasonic  sensor,  IR  flame  sensor,    Arduino microcontroller  unit,  GPS device  and GSM module.  In  the  event  of  accident,   this wireless device  will  send to mobile  phone as a  short  message  indicating  the position of vehicle by GPS  system  to  respective authorities,    emergency  medical    service    (EMS)    and  nearest    hospital.    The  threshold  algorithm  and  speed of motorcycle  are used to determine fall or accident in real-time.},
      month = {May},
  }