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  Smart Helmet for Accident Detection  
  Authors : Kamal Duseja; Shubhangi Verulkar
  Cite as:

 

Smart helmet for accident detection will be used to save lives of people. As in India it is observed that medical emergency don't arrive on time because they are informed late due to various reasons. People think they will be asked many questions by police officers so they don't care to report the accident. Smart Helmet solves this problem by reporting the accident and sending the location to the concerned authorities through a text message. Smart helmet is a concept based on a Arduino using various technologies like bluetooth, gsm and gps. An android application is used to control the functions of helmet. Smart helmet can be used and implemented all over the world where vehicles are used. This will bring down the accident rate and will save many lives.

 

Published In : IJCSN Journal Volume 8, Issue 2

Date of Publication : April 2019

Pages : 148-150

Figures :09

Tables : --

 

Kamal Duseja : Department of Information Technology, Mumbai University, K.C. College of Engineering & Management Studies & Research, Thane(E), Maharashtra, India.

Shubhangi Verulkar : Department of Information Technology, Mumbai University, K.C. College of Engineering & Management Studies & Research, Thane(E), Maharashtra, India.

 

Arduino, Android, Bike-safety, Helmet

The conclusion of the paper is that the smart helmet should be made compulsory for all the bikers. The new bikes should come with pre-installed settings for smart helmet. This will save many people's lives and will improve the safety of people on road. Smart helmet will save many people during accidents. Thus it is necessary to implement this idea on a large scale.

 

[1] International Research Journal of Engineering and Technology (IRJET) SMART HELMET FOR ACCIDENT PREVENTION Priya Parameshwari1, Veeresh Pujari2, Baswaraj Gadgay3 [2] Programming Arduino : Getting started with sketches book by Simon Monk [3] Meena, Amit & Iyer, Srikrishna & Nimje, Monika & Joglekar, Saket & Jagtap, Sachin & Rahman, Mujeeb. (2015). Automatic Accident Detection and reporting framework for two wheelers. 962-967. 10.1109/ICACCCT.2014.7019237.