Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
---|---|---|
Article Number | 01149 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202339101149 | |
Published online | 05 June 2023 |
Smart Helmet based Accident Detection and Notification System for Two-Wheeler Motor Cycles
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India
2 UG Student, Department of CSBS, GRIET, Hyderabad, Telangana, India
* Corresponding author: mamidi.kirankumar09@gmail.com
It’s common knowledge that modern youth gravitate toward two-wheeled transportation. Drinking and driving and excessive speeding are also widespread problems today. Road accidents are responsible for the deaths of thousands of individuals every year. The primary cause of this is the tardiness of emergency aid that should have been given to the victims. Using the Internet of Things, smart helmets will be able to identify accidents and send alerts to nearby emergency services as well as medical facilities. In this case, an accelerometer module is used to detect accidents by constantly monitoring the deviations from the normal conditions. In the event of a collision, the exact location of the rider can be determined and forwarded to the relevant authorities. The primary function of this system is to transmit accurate information related to the accident in the form of text messages and phone calls to predetermined contacts.
© The Authors, published by EDP Sciences, 2023
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.