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Automatic Vehicle Accident Detection & Alerting System
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.
References
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[2] Ms. Sarika B. Kale, Gajanan P. Dhok, “Embedded system for intelligent ambulance and traffic control management International Journal of Computer and Electronics research”, Volume 2, Issue 2, April 2013.
[3] FengyuanJiaHongyanWang ,“A New Type of Automatic Alarming Device to Rescue Accident Injured in Time”,September 2014.
[4] Sri Krishna Chaitanya Varma, Poornesh, Tarun Varma, Harsha ,“Automatic Vehicle Accident Detection and Messaging system using GPS and GSM Modems”, International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013 ISSN 2229-5518.
[5] https://www.electronicwings.com/sensors-modules/adxl335-accelerometer-module.
[6] TanayaAchalkar, ShrinathPanmand, SaurabhNaik, DilipPatil, RachnaSonkumwar"An Efficient Approach for Accident Detection System" International Journal of Engineering Trends and Technology 67.4 (2019): 4-7.
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[12] FengyuanJiaHongyan Wang “A New Type of Automatic Alarming Device to Rescue Accident Injured in Time”.
[13] Sri Krishna Chaitanya Varma, Poornesh, Tarun Varma, Harsha “Automatic Vehicle Accident Detection and Messaging system using GPS and GSM Modems”, International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013 ISSN 2229-5518.
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How to cite this paper
@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},
}