Vol 7, No 2 (2022)

Embedded System for Detection of Driver Drowsiness

Authors:-Sudha Kumari, Vandana Pathak, Kirti Panchal

Abstract:- Driver weariness has emerged as one of the main factors in traffic accidents in recent years. A complete way of assessing driver fatigue is the condition of the driver's drowsiness. Therefore, it is crucial to identify drowsy driving in order to protect people and property. The creation of a system that can detect tiredness is the aim of this research. This prototype is a real-time system that records pictures continuously, evaluates the eye's condition using the described method, and issues a warning if required. Although there are several techniques to measure driver weariness, this method is completely non-intrusive and has no impact on the driver, revealing the driver's true condition. To detect fatigue, the persistence value of the eye is calculated. The driver is regarded as sleepy when their eye closure exceeds a particular threshold.

Keywords:- Driver fatigue, Fatigue detection, Driver monitoring system, Face detection.

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