Driver Drowsiness Detection Using CNN and ESP32 CAM

The main goal of this project is to create a drowsiness detection system that monitors the eyes; it is thought that by identifying the signs of driver fatigue early, an accident can be prevented. When this happens and drowsiness is found, a warning signal is sent to the driver to let them know. ResNET system, which is a deep learning CNN system, enables early detection of a decline in driver alertness while driving and offers a noncontact technique for evaluating various levels of driver alertness. 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.