Journal of Ubiquitous Computing and Communication Technologies
IRO Journals
Volume 5 — Issue 2 — June 2023

Intelligent Accident Detection and Vehicle Security for Two Wheelers

https://doi.org/10.36548/jucct.2023.2.008
David Sherry H
Department of EEE, Coimbatore Institute of Technology, Affiliated by Anna University, Coimbatore, Tamil Nadu, India
Manoj Kumar D
Department of EEE, Coimbatore Institute of Technology, Affiliated by Anna University, Coimbatore, Tamil Nadu, India
Ritchie Saul Daniel R
Department of EEE, Coimbatore Institute of Technology, Affiliated by Anna University, Coimbatore, Tamil Nadu, India
Subramani P
Department of EEE, Coimbatore Institute of Technology, Affiliated by Anna University, Coimbatore, Tamil Nadu, India
Prema D
Department of EEE, Coimbatore Institute of Technology, Affiliated by Anna University, Coimbatore, Tamil Nadu, India
Hamsavarthini Y
Department of EEE, Coimbatore Institute of Technology, Affiliated by Anna University, Coimbatore, Tamil Nadu, India
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How to Cite

H, David Sherry, Manoj Kumar D, Ritchie Saul Daniel R, Subramani P, Prema D, and Hamsavarthini Y. 2023. “Intelligent Accident Detection and Vehicle Security for Two Wheelers”. Journal of Ubiquitous Computing and Communication Technologies 5 (2): 220-33. https://doi.org/10.36548/jucct.2023.2.008.
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Keywords

— GSM
— GPS
— Fingerprint Sensor
— Accident detection system
Published: 12-07-2023

Abstract

Quick medical assistance in case of accidents aid in saving the lives. The main aim of this developed system is to alert the nearby hospital about the accident and to provide immediate medical aid. The system has various sensors such as accelerometer, vibration and tilt, to identify the variations in the vehicle. The system makes decision based on the value of the sensors and sends the information through smartphones connected to the Raspberry pi module. The vehicle security system uses a fingerprint recognition for ignition of vehicle engine to ensure the protection of the vehicle from unauthorized access.

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