International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | IoT Based Smart Helmet for Motorcycle Rider Safety |
|---|---|
| ABSTRACT | This project introduce an IoT-based Smart Helmet aimed at improving motorcycle rider safety through the integration of various real-time monitoring functionalities within a single embedded framework. The helmet features an MQ-3 sensor for alcohol detection, an IR eye-blink sensor to monitor drowsiness levels, a vibration sensor for accident detection, and a proximity sensor to confirm proper helmet usage. An Arduino microcontroller processes all input from the sensors locally and manages the motor via an L298N driver to automatically turn off the vehicle under hazardous conditions. This system effectively prevents ignition when alcohol is detected, reduces speed in instances of drowsiness, and issues immediate alerts following an impact to enhance rider safety. |
| AUTHOR | NEHA GOPAL N, SATHVIK REDDY KODURU, SATYANARAYANA J, SWAROOP TOM, VATHSA L P Assistant Professor Department of Computer Science and Engineering, East Point College of Engineering and Technology, Bengaluru, Karnataka, India UG Students, Department of Computer Science and Engineering, East Point College of Engineering and Technology, Bengaluru, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312115 |
| pdf/115_IoT Based Smart Helmet for Motorcycle Rider Safety.pdf | |
| KEYWORDS | |
| References | 1. Md. Jahirul Islam, et al., “IoT-Based Smart Helmet for Riding Security,” International Journal of Innovative Computing and Communication Engineering (IJICCE), 2024. 2. Maganti Sree Ram, et al., “Smart Helmet for Accident Detection,” International Journal of Engineering Research in Electronics and Communication Engineering, Vol. 9, Issue 2, 2022. 3. Shahnaz Parvin Mila and Jogesh Roy, “Quick-Responder Smart Helmet,” Proceedings of the International Conference on Emerging Intelligent Systems, pp. 115–120, 2023. 4. Nwosu and Adewale, “IoT in Road Safety Systems,” International Journal of Intelligent Transportation and IoT Applications, Vol. 5, Issue 3, pp. 210–217, 2023. 5. Chen and Li, “Real-Time Fatigue Detection in Motorcycle Helmets,” Journal of Embedded Vision and Safety Computing, Vol. 4, Issue 1, pp. 44–52, 2023. 6. Rodriguez, et al., “GSM/GPS-Based Emergency Alert Systems for Riders,” International Conference on Smart Computing and Communication Technologies, Elsevier, pp. 355–362, 2022. 7. Kumar and Patel, “Alcohol Detection Sensors in Smart Helmets,” International Journal of Sensor Technology and Applications, Vol. 12, Issue 4, pp. 98–104, 2024. 8. Smith and Johnson, “Voice Navigation Systems for Two-Wheeler Safety,” International Journal of Computer Networks and Wireless Communications, Vol. 11, Issue 2, pp. 450–456, 2021. 9. Gupta, et al., “IoT-Enabled Accident Prevention in Smart Helmets,” International Journal of Advanced Engineering and Data Science, Vol. 6, Issue 1, pp. 55–63, 2023. 10. Wang and Zhang, “Edge Computing for Real-Time Helmet Analytics,” Procedia Computer Science, Elsevier, Vol. 215, pp. 703–710, 2022. |
