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Abstract: Accidents have become increasingly common in recent times, primarily stemming from driver inattentiveness during their journeys. These accidents result in significant financial losses and a high number of fatalities, in addition to causing harm to the environment. This paper outlines a module designed to alert drivers by implementing a straightforward monitoring system. Through our analysis, it has become evident that more than 25% of accidents can be attributed to driver drowsiness, emphasizing the grave danger it poses, even surpassing the risks associated with drunk driving. To detect driver drowsiness, a simple camera system is employed, which initiates monitoring as soon as the car starts and continues throughout the journey. This monitoring system is closely linked with an automatic speed control mechanism, resembling an automatic speed controller. The paper elaborates on the techniques used to assess driver safety by examining visual cues from the driver, ultimately serving as an early warning system for potential accidents. Consequently, reducing speed is made more straightforward, with alerts provided to the driver, ultimately leading to a decrease in accidents caused by driver drowsiness thanks to our proposed approach
Malpathak et al. (2024) studied this question.