An efficient anti drowsiness detection system for driver using arduino

Wan Ab Aziz, Wan Nurulain (2024) An efficient anti drowsiness detection system for driver using arduino. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Existing systems for detecting driver sleepiness rely on expensive equipment impractical to wear while driving, such as electroencephalography (EEG) and electrocardiography (ECG), analyzing heart rhythms and brain frequencies. However, it is essential to identify physical signs of fatigue for a reliable algorithm. A more practical approach involves a camera-based sleepiness detection system in front of the driver. Challenges may arise from lighting variations and head tilting, making accurate detection difficult. To address these, and using an infrared sensor and buzzer, this project comprehensively analyzes prior research. The ultimate goal is to develop a system tracking eye movements and effectively detecting signs of drowsiness. An example of such an application is the driver drowsiness system, employed to identify drowsiness in individuals operating a vehicle. In recent years, there has been a notable surge in road accidents in Malaysia, which can be partly attributed to driver fatigue or drowsiness. Drowsiness during driving poses a grave risk as it leads to fatalities and severe injuries each year when drivers fall asleep at the wheel or experience drowsiness. Prolonged periods of driving or a lack of alertness contribute to heavy eyelids and fatigue, causing drivers to lose focus and increasing the likelihood of accidents. These are common signs of fatigue, which pose significant dangers. It is crucial to address this problem as drivers' lives are at stake. However, preventing accidents becomes challenging if the driver feels drowsy. Hence, the objective of this project is to create a device that use infrared sensor and Arduino that can aids drivers in protecting themselves against accidents caused by drowsiness or sleepiness.

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