Revolutionizing Rest: A CNN-Powered Sleep Monitoring and Alert System
摘要
This project’s major objective is to develop an eye-tracking drowsiness detection system since it is believed that by seeing indicators of driver sleepiness early, an accident can be avoided. When this happens and drowsiness is found, a warning signal is sent to the driver to let them know. ResNET, a deep learning CNN system, provides early identification of a fall in driver awareness during driving. When this happens and fatigue is found, a warning signal is sent to the driver to let them know. If the driver doesn’t react to the alarm, the system also includes a feature that will slow down the car until it stops.