Issue |
E3S Web Conf.
Volume 87, 2019
1st International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)
|
|
---|---|---|
Article Number | 01023 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/20198701023 | |
Published online | 22 February 2019 |
Smart helmet for safe driving
1 2 3 4 5 VNR VignanaJyothi Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, India
shravyakeesari@gmail.com1, yaminimandapati974@gmail.com2, keerthidonuru@gmail.com3, kothapuharika@gmail.com4, ranjan_ks@vnrvjiet.in5
A smart helmet is a type of protective headgear used by the rider which makes bike driving safer than before. The main purpose of this helmet is to provide safety for the rider. This can be implemented by using advanced features like alcohol detection, accident identification, location tracking, use as a hands free device, fall detection. This makes it not only a smart helmet but also a feature of a smart bike. It is compulsory to wear the helmet, without which the ignition switch cannot turn ON. An RF Module can be used as wireless link for communication between transmitter and receiver. If the rider is drunk the ignition gets automatically locked, and sends a message to the registered number with his current location. In case of an accident it will send a message through GSM along with location with the help of GPS module. The distinctive utility of project is fall detection; if the rider falls down from the bike it sends a message.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.