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By: K. Lakshmi Devi, K. Uma, A. R. M. Lakshmi, V. S. Swaroop, M. A. S. Krishna, T. Saran Kumar, and I R S Nageswara Rao.
1-5 UG Scholar, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
6 Associate Professor, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu, Andhra Pradesh, India
7 Assistant Professor, Department of ECE, Bonam Venkata Chalamayya Engineering College(A), Odalarevu,
Andhra Pradesh, India
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.
Citation:
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