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Automatic Accident Detection and Emergency Alert System using IoT

Journal: International Journal of Trend in Scientific Research and Development (Vol.8, No. 2)

Publication Date:

Authors : ;

Page : 395-400

Keywords : IOT; GPS; GSM; MQ3; Accelerometer;

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Abstract

One of the primary causes of a vehicle accident is speed. If emergency personnel had been able to learn about the tragedy and arrive in time, many lives might have been saved. Many unique characteristics can be found in an intelligent vehicle, such as a smart car, that has electronic driver assistance controls installed. In this context, a few clever ideas are included in this project work, such as axis detector, vibration sensor, a close running car alarm on the front and rear sides, MQ3 Alcohol. The Arduino Uno board serves as the main processing unit, and it is interfaced with the sensors mentioned above. Accelerometer is detect the sudden change of axis of the vehicle, Vibration sensor detect the hitting of vehicle, if such condition detects, Arduino take the location of the vehicle from GPS sensor and send message through GSM Global System for Mobile communication along with location to the family member mobile. In addition to being used to detect alcohol level of the driver. If this occurs, an emergency alert will show and an alarm will sound. Mangla Devi Sao | Ghanshyam Sahu | Lalit Kumar P Bhaiya "Automatic Accident Detection and Emergency Alert System using IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-2 , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64660.pdf Paper Url: https://www.ijtsrd.com/engineering/transport-engineering/64660/automatic-accident-detection-and-emergency-alert-system-using-iot/mangla-devi-sao

Last modified: 2024-08-02 19:04:33