This study assesses the effectiveness of fatigue monitoring systems aimed at enhancing safety on the road by monitoring physiological parameters. Such systems are meant to track driver behavior to detect fatigue and warn the driver before dangerous situations arise. This study intends to demonstrate the variety of approaches in monitoring fatigue as well as the significance of those systems to road safety [1, 2]. Recent changes in sensor components, detection algorithms, and their usage are studied. Analyses of the current fatigue monitoring technology of system sensors include wearable devices, automotive measures, and vision-based systems. Vision-based systems use cameras and computer imaging to track facial and eye movement changes indicative of fatigue [3]. The vast majority of road accidents, drowsiness is one of the leading causes, and road safety, therefore, still remains a cause of concern all over the world. The WHO estimates that by the causation of road traffic accidents, the death toll is about 1.35 million every year, which equals the population of Maine, out of which a major fraction is due to driver fatigue or sleepiness. Driver sleepiness causes, as estimated by NHTSA, more than 91,000 crashes a year in the United States alone, resulting in about 800 fatalities and 50,000 more injuries, which urgently necessitate highly effective interventions targeted at reducing driver fatigue and improving traffic safety.