The Vision Guardian project seeks to make roads safer by utilizing an intelligent driver monitoring system that continuously tracks the most important aspects of a driver's wellbeing. To detect whether the driver is paying attention and to spot possible dangers like intoxication or drowsiness, the system makes use of a number of sensors. It tracks the frequency and duration of the driver's blinks using an eyeblink sensor to monitor for signs of fatigue. A MQ3 alcohol sensor detects the amount of alcohol in the driver's breath, and a GPS module tracks the vehicle's location. A NodeMCU ESP8266 microcontroller receives all of these readings in real-time and processes them swiftly to allow the system to function immediately. If the system senses drowsiness or intoxication, it instantly notifies the driver by giving warnings such as vibration or even cutting off the vehicle's ignition. During an emergency, the system provides real-time GPS coordinates to emergency contacts so that they can reach them faster. Through this method, the Vision Guardian project aims to avoid accidents due to fatigued or drunk drivers. In the future, we will improve the system by integrating more sophisticated sensors, AI-based fatigue detection, and cloud features to make it even more reliable and efficient on the road.


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    Titel :

    Vision Guardian – An Intelligent Driver Monitoring System with Eyeblink and Alcohol Sensors


    Beteiligte:
    Sridevi, S. (Autor:in) / B, Raja (Autor:in) / V K, Raja Raja Chozhan (Autor:in) / J, Nandagopal (Autor:in)


    Erscheinungsdatum :

    07.05.2025


    Format / Umfang :

    715510 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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