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@article{179448,
        author = {Mr.Anand N.Waghmode and Ms.Shubhangi Y.Bichukale and Prof.Anil J.Kokare},
        title = {DRIVER SAFETY SYSTEM USING SENSORS LIKE EYE BLINK, ALCOHOL, SMOKE, ACCIDENT PREVENTION, USING ARDUINO UNO},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7642-7644},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179448},
        abstract = {Road safety has become a global concern due to the increasing number of accidents that occur as a result of driver negligence, drowsiness, alcohol consumption, or late reaction to hazards. According to the World Health Organization, over 1.3 million people die each year due to road traffic accidents, and many more suffer serious injuries. In India alone, thousands of accidents are recorded annually, many of which are attributed to drivers who fall asleep at the wheel, drive under the influence of alcohol, or fail to detect dangers in time. With the current emphasis on smart vehicles and intelligent transport systems, it is essential to implement preventive safety measures that actively monitor and respond to such conditions in real time. This project aims to address this issue through the development of a Smart Driver Safety System using Arduino UNO and a combination of sensors.
The core idea of the project is to build a microcontroller-based embedded system that monitors the driver’s physical state and immediate environment using multiple sensors and then triggers safety mechanisms to reduce accident risks. The system comprises key sensors such as the eye blink sensor (for drowsiness detection), alcohol sensor (MQ-3) (to detect intoxication), smoke sensor (MQ-2) (to monitor for fire hazards inside the cabin), and ultrasonic sensor (HC-SR04) (for obstacle detection). The Arduino UNO acts as the central controller that collects data from all these sensors, analyzes it according to predefined thresholds, and activates output devices like buzzers, relays, and LEDs to alert or take control in emergency conditions.
This project demonstrates a practical and affordable solution to improving road safety, especially in developing countries where high-end vehicles equipped with advanced safety systems are not commonly used. The Smart Driver Safety System can be installed in public transportation, commercial fleets, school buses, and even personal vehicles to ensure responsible and alert driving behavior. It also opens up possibilities for future research and enhancement, such as adding facial recognition, heart rate monitoring, and advanced AI-based decision systems.},
        keywords = {},
        month = {May},
        }