group3_2020_21

Problem Statement :

Drowsiness detection technology that can prevent accidents that are caused by drivers who fell asleep while driving .

Objective :

	1.  To build a drowsiness detection system that will detect that a person’s eyes are closed.
	2.  This system will alert the driver when drowsiness is detected.

For this we will be using the following components : 1. Python and Jupyter notebook 2. OpenCV 3. Keras 4. Tensorflow and pygame Image Sequence Input:

                    1)Face Detection
                    2)Eye Detection
                    3)Eye State Tracking

Output:

                     1)If eye closed for n frames
                                           -Yes (Alarm)
                                           -No  (Go to Face Detection)