AI-Based Driver Drowsiness Detection using Eye Blink Monitoring with Automated Speed Control and Warning Alert
DOI:
https://doi.org/10.15662/IJEETR.2026.0802231Keywords:
Driver Drowsiness Detection, Eye Blink Monitoring, Computer Vision, Fatigue Detection, Real-Time Monitoring, Automated Speed Control, Warning Alert System, Road Safety, Non-Intrusive Sensing, Intelligent Transportation SystemAbstract
Driver drowsiness is one of the major causes of road accidents. This project presents a Driver Drowsiness Detection and Automatic Vehicle Safety System that continuously monitors the driver’s eye status using an eye sensor or camera. When the system detects that the driver’s eyes remain closed for more than 2 seconds, it identifies a drowsy condition and activates an alert buzzer to warn the driver. If the driver does not respond, the alert is repeated, and continued unresponsiveness confirms prolonged drowsiness.
In such situations, the system automatically reduces the vehicle speed by controlling the fuel supply from the fuel tank to the engine. Simultaneously, the front and rear indicators blink continuously to alert nearby vehicles and improve road safety. Once the driver regains a normal state, the fuel supply is restored, and the vehicle resumes normal operation. This system effectively enhances driver safety, minimizes accident risks, and supports intelligent vehicle control for safer transportation
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