Smart System for Rider Safety and Bike Security

Abstract

The increasing prevalence of vehicle theft and accidents underscores the need for advanced safety and security systems. This paper presents a comprehensive solution that integrates anti-theft measures with rider safety protocols, combining insights from three related projects. The system employs biometric authentication, alcohol detection, helmet detection, GPS/GSM technology, and accident detection to enhance security and reduce the risk of accidents. By offering a multi-faceted approach, this system aims to significantly improve vehicle security while safeguarding riders\' well-being.

Introduction

This research proposes an integrated smart system to address vehicle theft and road accidents by combining rider safety and security features. The system ensures a vehicle only starts if the rider is authenticated via fingerprint, wearing a helmet, and sober. It also includes GPS tracking, GSM alerts, and accident detection for real-time response and monitoring.

System Components:

• Helmet Unit: Includes sensors for alcohol detection (MQ2), helmet presence (limit switch), and buckle fastening, all managed by a microcontroller and transmitted via RF.

• Bike Unit: Includes an RF receiver, fingerprint sensor, Arduino Nano controller, LDR for auto-headlights, speed monitoring, buzzer, voice module, LCD, and GSM for alerts.

Operational Flow:
The system performs sequential checks:

1. Helmet worn and buckled

2. No alcohol detected

3. Fingerprint authentication

4. Speed monitoring and alerts

Only after all safety conditions are met will the bike start. If any condition fails, the system blocks ignition and issues warnings.

Results:

• Improved security via biometric authentication

• Enhanced rider safety by preventing drunk or helmetless riding

• Quicker emergency response through real-time alerts

• User convenience with automated features

Conclusion

This paper introduces a smart vehicle safety and security system that integrates biometric authentication, alcohol and helmet detection, GPS/GSM communication, and accident detection. The system combines rider safety features with anti-theft mechanisms, offering a holistic solution. It aims to reduce vehicle thefts and road accidents, ultimately promoting safer riding practices and improving overall vehicle security

References

Books and Academic Papers [1] R. Kamal, Embedded Systems: Architecture, Programming and Design, 3rd ed., NewDelhi: McGraw-Hill Education, 2017. [2] M. A. Mazidi, J. G. Mazidi, and R. D. McKinlay, The 8051 Microcontroller and Embedded Systems: Using Assembly and C, 2nd ed., Pearson Education, 2006. [3] S. Kumar and R. Jain, “Design and Development of Smart Helmet for Rider Safety Using IoT,” International Journal of Engineering Research and Applications. Hardware References [1] Microchip Technology Inc., AT89C2051 – 8-bit Microcontroller with 2K Bytes Flash, [Online].https://www.microchip.com/en-us /product/AT89C2051 [2] Arduino, Arduino Nano Board Overview, [Online].https://www.arduino.cc/en/Guide/Nano [3] MQ-3 Gas Sensor Datasheet, [Online]. https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-3.pdf [4] Ublox, NEO-6M GPS Module Datasheet, [Online].https://www.u-blox.com/en/product/ neo-6-series Online Articles and Tutorials [1] \"How to Interface GSM Module with Arduino,\" Circuit Digest, [Online]. https://circuitdigest.com/microcontroller-projects/interfacing-gsm-module-with-arduino [2] \"Smart Helmet Using Arduino and GSM Module,\" Engineers Garage, [Online]. https://www.engineersgarage.com/smart-helmet-using-arduino/ [3] \"How to Use 8051 Microcontroller – Basics and Programming,\" Electronics Hub, [Online]. https://www.electronicshub.org/8051-microcontroller-basics/

Copyright

Copyright © 2025 Ms. L. Sreeja, Mr. K. Madhuvardhan , Mr. A. Anil Kumar, Mr. O.V.P.R Sivakumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.