Drivers Real time Drowsiness, Attention Detection and Alarm System using Eye Aspect Ratio(EAR) Analysis

There is an immediate threat to the highway transportation system from road accidents, which can cause death, serious injury, and property damage. Accidents involving motor vehicles cause significant injury or death to a large number of individuals annually. Fatigue, lack of focus, and lethargy are key contributors to vehicle collisions. In order to identify driver inattention or exhaustion in real-time, this research lays forth a system that combines an emergency alarm system with Eye Aspect Ratio (EAR), which is based on facial landmarks. The method's strength is that it can accurately differentiate between closed eyes and inattention, even in low-light conditions. The experimental results demonstrate the efficacy of the proposed method in resolving these critical issues, offering a practical means to enhance road safety.