This project presents a Driver Drowsiness Detection system using Raspberry Pi aimed at preventing road accidents caused by driver fatigue. A webcam continuously monitors the driver's facial features, particularly eye movements, using image processing techniques to detect signs of drowsiness. If drowsiness is detected, an alert mechanism is triggered: a buzzer sounds to wake the driver, and a warning message is displayed on an LCD screen. Simultaneously, the system uses a GSM module to send an alert SMS to a predefined contact along with the driver's current GPS location, ensuring prompt external intervention if needed. Additionally, to further enhance safety, the system automatically stops the vehicle by cutting power to the DC motor. This integrated system provides a comprehensive and real-time solution to mitigate risks associated with driver fatigue.
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