A Survey on Drowsiness Detection System using Infrared Sensor

Abstract: Drowsy driving is one of the top causes of road accidents, resulting in catastrophic injuries and deaths every year. Drowsiness is defined as trouble staying awake, which can be detected by systems that analyse physiological indicators, face traits, and driving patterns. The paper also describes and offers the most recently developed strategies for each class. It also compares recently published work in terms of accuracy, dependability, hardware requirements, and penetration capabilities. The advantages and limitations of each category is summarised and analysed. As a result, each technique has both advantages and downsides. A hybrid system that integrates two or more techniques will be efficient, durable, and precise, and will be employed in real time to maximise the benefits of each methodology.

Keywords: Drowsy driving, Physiological cues, Facial features, Driving habits