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K. Lakshmi Devi,
K. Uma,
A. R. M. Lakshmi,
V. S. Swaroop,
M. A. S. Krishna,
T. Saran Kumar,
I R S Nageswara Rao,
- UG Scholar, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
- UG Scholar, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
- UG Scholar, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
- UG Scholar, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
- UG Scholar, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
- Associate Professor, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
- Assistant Professor, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
Abstract
Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazards remain a major concern in transportation safety. This paper presents a Smart Safety Driver Device designed to enhance vehicle safety through real-time monitoring and automated alert mechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcohol sensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino- based controller continuously processes sensor data and activates safety actions such as buzzer alerts, engine control, and automatic water sprinkler activation during emergency situations. The proposed system aims to reduce accidents by providing timely warnings and preventive responses. The design focuses on low-cost implementation, reliability, and easy integration with existing vehicles. Continuous monitoring ensures improved driver awareness and faster response to hazardous conditions. The system is suitable for applications in public transport, logistics, and personal vehicles. The results of the experiments show that unsafe conditions can be detected accurately and responded to quickly. Future improvements could encompass IoT connectivity, GPS-driven emergency alerts, and AI-based assessments of driver behaviour. Experimental implementation demonstrates effective detection and quick response to unsafe situations. Future enhancements include IoT connectivity, GPS-based emergency alerts, and AI-based driver monitoring. Overall, the Smart Safety Driver Device provides a practical and efficient approach toward improving road safety and reducing accident risks.
Keywords: Driver Drowsiness Detection, Alcohol Detection, Fire Detection, Arduino, Vehicle Safety, Sensor-Based Monitoring, Real-Time Monitoring, Accident Prevention.
K. Lakshmi Devi, K. Uma, A. R. M. Lakshmi, V. S. Swaroop, M. A. S. Krishna, T. Saran Kumar, I R S Nageswara Rao. SMART SAFETY DRIVER DEVICE. International Journal of Embedded Systems and Emerging Technologies. 2026; 12(01):-.
K. Lakshmi Devi, K. Uma, A. R. M. Lakshmi, V. S. Swaroop, M. A. S. Krishna, T. Saran Kumar, I R S Nageswara Rao. SMART SAFETY DRIVER DEVICE. International Journal of Embedded Systems and Emerging Technologies. 2026; 12(01):-. Available from: https://journals.stmjournals.com/ijeset/article=2026/view=240116
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| Volume | 12 |
| 01 | |
| Received | 27/03/2026 |
| Accepted | 17/03/2026 |
| Published | 15/04/2026 |
| Publication Time | 19 Days |
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