Publication

Abstract : Accidents are commonly increasing today, often resulting from driver inattention, especially when driving under the influence of alcohol or while drowsy, leading to fatalities and financial losses. Here, we introduce a driver alert system that employs a simple monitoring setup. Drowsiness is detected using a basic camera system that evaluates visual cues like eye movement and blinking to gauge driver safety. The accuracy of drowsiness detection is further enhanced by the help of irregular driving pattern recognition using lane detection. An alcohol detection sensor measures alcohol levels, determining if the driver is impaired, and triggering accident alerts. The proposed system comprises a PC and camera for image processing, along with an embedded device housing an alcohol sensor, host controller, and sensors. It provides alerts and the driver can gradually apply the vehicle’s brakes as needed for safety.