Rider Safety Device with Real-Time Accident Alert System
Ankit Kumar Singh
Scholar, Department of Mechanical Engineering , KIPM College of Engineering and Technology, U.P., India
Pranjal Upadhyay
Scholar, Department of Mechanical Engineering, KIPM College of Engineering and Technology, U.P., India
Prakash kumar
Scholar, Department of Mechanical Engineering, KIPM College of Engineering and Technology, U.P., India
Atul Mishra
Scholar, Department of Mechanical Engineering, KIPM College of Engineering and Technology, U.P., India
Dr. Mohammad Zahid Rayaz Khan
Director, KIPM College of Engineering and Technology, U.P., India
📌 DOI: https://doi.org/10.63920/tjths.52018
🔑 Keywords: Accident Detection, ESP32, MPU6050, Sensor Fusion, GPS, GSM, IoT, Road Safety.
📅 Publication Date: 16 April 2026
📜 License:
This work is licensed under a Creative Commons Attribution 4.0 International License
- Share — Copy and Redistribute the material
- Adapt — Remix, Transform, and build upon the material
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Abstract:
Road traffic accidents, especially those involving two-wheelers, are a major safety concern in developing countries like India. A large number of deaths occur due to delays in providing timely medical assistance after accidents. Quick response during the critical “Golden Hour” can significantly increase the chances of survival, but many accidents remain unreported due to lack of immediate communication. To solve this problem, this paper presents a smart rider safety device that automatically detects accidents and sends emergency alerts in real time. The system is based on an ESP32 microcontroller integrated with an MPU6050 sensor, which combines an accelerometer and gyroscope to detect abnormal motion using sensor fusion techniques. The system identifies accident conditions by analyzing sudden impact and abnormal tilt, reducing false detections during normal riding. Once an accident is detected, the system obtains the location using a GPS module and sends an alert message through a GSM module, including a Google Maps link for easy tracking. A fail-safe feature is also included, allowing the rider to cancel the alert within a short time if no serious accident has occurred. The proposed system is low-cost, reliable, and can be easily installed on existing vehicles. Experimental results show that it provides accurate detection and fast alert transmission, making it a practical solution for improving road safety and emergency response.
Download Full PDF Paper
📖 How to Cite
Ankit Kumar S. , Pranjal U. , Prakash k. , Atul M. , Mohammad Zahid Rayaz K. (2026). Rider Safety Device with Real-Time Accident Alert System. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52018
📊 Article Metrics
References
[1] World Health Organization, “Global status report on road safety,” Geneva, 2018.
[2] Ministry of Road Transport and Highways (MoRTH), “Road accidents in India,” Government of India, 2023.
[3] National Crime Records Bureau (NCRB), “Accidental deaths and suicides in India,” 2007.
[4] P. Kumar, A. Singh, and R. Sharma, “A robust fall detection algorithm using MPU6050 sensor fusion,” International Journal of Advanced Engineering, vol. 8, no. 2, pp. 45–51, 2021.
[5] S. Verma and J. P. Singh, “Accident detection using 3-axis accelerometer and GSM module,” in Proc. 2nd Int. Conf. Computing and Communication (ICCC), 2017.
[6] A. Patel, R. Jain, and S. Gupta, “GPS and GSM based automatic accident alert system,” Journal of Engineering and Technology, vol. 5, pp. 112–119, 2018.
[7] T. White, “Smartphone sensors vs. dedicated IMUs for crash detection,” IEEE Trans. Intelligent Transportation Systems, vol. 22, no. 3, pp. 1021–1029, 2020.
[8] R. Menon and V. S. Kumar, “IoT-based vehicle accident notification system,” Journal of Cloud Computing and IoT, vol. 3, no. 1, 2019.
[9] S. S. Jadav and R. K. Patil, “Smart helmet for accident detection using Arduino and GSM,” International Journal of Computer Applications, vol. 178, no. 10, pp. 14–17, 2018.
[10] J. P. S. Chauhan and R. Anand, “Sensor fusion for intelligent vehicle safety systems using MPU6050,” in Proc. IEEE Conf. Sensor Informatics, 2020.
[11] V. Singh and A. K. Mishra, “ESP32 and AWS IoT for real-time accident reporting,” International Journal of IoT and Cloud Computing, vol. 7, pp. 55–62, 2022.
[12] M. R. Khan and S. Ali, “Design of a reliable crash alert system with fail-safe mechanism,” Journal of Mechatronics and Automation, vol. 6, no. 4, pp. 78–84, 2020.
[13] R. S. Bhadoria, “Automatic vehicle accident detection and messaging system using GPS and GSM,” International Journal of Electronics Engineering, vol. 5, no. 2, pp. 220–223.