The primary purpose of this paper was to propose a way to alert sleepy
drivers in the act of driving. Most of the traditional methods to detect
drowsiness are based on behavioral aspects while some are intrusive and
may distract drivers, while some require expensive sensors/hardware.
Therefore, in this paper, driver’s drowsiness detection system is
developed and implemented to aid drowsy drivers from falling asleep and
to prevent accidents. The system takes images from the device as input.
Using these image templates, the trained model starts execution and
predicts/classifies whether the face of the person in the image is
drowsy or alert. The proposed model is able to achieve accuracy of
99.93% using CNN on trained image dataset.