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@article{168935,
        author = {Dr. N. Sambasiva Rao},
        title = {Accident Prevention System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2355-2360},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168935},
        abstract = {This project focuses on designing and implementing a driver safety system using an Eye Blink Sensor and an Alcohol Sensor, both interfaced with an Arduino microcontroller. The system addresses two major causes of road accidents: drowsiness and drunk driving. The Eye Blink Sensor monitors the driver’s eye movements to detect drowsiness or fatigue by measuring blink frequency. Simultaneously, the MQ-3 Alcohol Sensor detects the presence of alcohol in the driver’s breath. If either drowsiness or alcohol consumption is detected, the system triggers warnings, activating a buzzer. This system provides a proactive approach to ensuring road safety by alerting drivers or potentially preventing vehicle operation under unsafe conditions. Its simplicity, low cost, and reliability make it suitable for integration into vehicles, providing a practical solution to reduce accident risks related to impaired driving.},
        keywords = {Alcohol Detector, Arduino Microcontroller, Collision Avoidance System, Driver Fatigue Detection, Eye Blink Sensor, Road Safety, Ultrasonic Distance Sensor, Vehicle Safety.},
        month = {October},
        }