Literature Review of Drowsiness Identification and Alert System for Real Time Network

Road mishaps are more likely to be caused by tired drivers. Driving for extended periods of time, driving while sleep deprived, and driving while under the influence of drugs, alcohol, or medication are just a few of the factors that contribute to driver fatigue. In developing nations, where the death rate from traffic injuries is above 85% and the disability-adjusted life expectancy is above 90%, traffic injuries and fatalities are a major public health concern. One of the safeguards to avoid accidents is drowsiness detection. Based on the parameters each method uses, drowsiness detection techniques created for defence purposes are divided into four groups. These groups are: Subjective-based, Vehicle-based, Behavioral or Visual-based, Mouth Tracking, Physiological or Non visual-based. The remote healthcare monitoring and drowsiness alert system is a network of interconnected vehicles that communicate with each other and with the surrounding environment using advanced communication technologies. It leverages this network to collect and transmit vital health data from drivers to healthcare professionals who can then use the information's to monitor their health status and provide timely medical interventions when necessary.