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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.AITCON050
Volume:
10 |
4 |
April 2026
Pages:
1-2
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AIML
Adarsh Institute of Technology & Research Centre, Vita
AIML
Adarsh Institute of Technology & Research Centre, Vita
AIML
Adarsh Institute of Technology & Research Centre, Vita
AIML
Adarsh Institute of Technology & Research Centre, Vita
Motorcycle accidents are the most common type of accident in the world. A big problem is that it takes too long to call for help after an accident, especially when the rider is unconscious or can't call for help. The design and building of a smart helmet that can tell when it hits something and send real-time location alerts to a mobile app through a cloud server. The proposed system includes a sensor that can detect impacts, a GPS module for tracking location, and a SIM-based communication module for connecting to the internet.
KEYWORDS
The proposed smart helmet system is a good way to make motorcycle riders safer because it automatically tracks accidents. Because of these factors, there is a growing need for an automated accident tracking system that can automatically find out when an accident happens, tell the right authorities where it happened in real time, and take into account any disciplinary actions that may have happened as a result of the accident
1. J. White, C. Thompson, H. Turner, B. Dougherty, "Wreck Watch: Automatic Traffic Accident Detection and Notification with Smartphones," Mobile Networks and Applications, 2011 2. S. Kumar and R. Raj, "Smart Helmet for Accident Detection and Notification," International Journal of Engineering Research and Technology, 2016 3. P. Verma and J. Bhatia, "Design and Development of GPS- GSM Based Accident Detection System," International Journal of Computer Applications, 2015 4. A. K. Gupta and S. Sharma, “IoT Based Smart Helmet System for Road Safety,” International Journal of Advanced Research in Computer Science, 2017 5. M. Ali, S. Ali, and M. Zafar, “Accident Detection and Reporting System Using GPS and GSM Technology,” IEEE International Conference on Communication Systems, 2019.
Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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