Intelligent AI Enabled System for Detecting Driver Drowsiness Alcohol and Heart Attacks Using IoT Sensors
Keywords:
Driver Monitoring, IoT, Road Safety, Arduino, Real-Time Alert, Accident PreventionAbstract
In recent years, the growing incidence of road accidents due to driver fatigue, alcohol consumption, and sudden medical emergencies such as cardiac arrests has raised critical concerns about vehicular safety. This study introduces an intelligent Internet of Things (IoT)-enabled driver monitoring system aimed at enhancing road safety through real-time health and behavior analysis. The proposed system integrates a combination of sensors, including a heartbeat sensor, alcohol detector, and an optional AI-powered camera module for drowsiness detection. These components are managed by an Arduino Uno microcontroller, which processes incoming sensor data and activates appropriate countermeasures. Upon detecting anomalies—such as an abnormal heart rate, alcohol presence, or signs of drowsiness—the system instantly triggers an audible alarm, displays the condition on an LCD screen, cuts off the engine by controlling a relay, and transmits real-time alerts via a Wi-Fi module to a connected IoT dashboard. This comprehensive approach not only aids in preventing potential accidents but also offers a cost-effective, scalable solution for improving vehicular and public safety. The system emphasizes proactive intervention to minimize risk, ensuring a safer driving experience through continuous monitoring and immediate response.
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