Drowsiness Detection System

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. The system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected.

Description

This program is used to detect drowsiness for any given person. In this program we check how long a person's eyes have been closed for. If the eyes have been closed for a long period i.e. beyond a certain threshold value, the program will alert the user by playing an alarm sound.

Requirements

Download shape_predictor_68_face_landmarks.dat.bz2 from Shape Predictor 68 features Extract the file in the project folder using bzip2 -dk shape_predictor_68_face_landmarks.dat.bz2

Dependencies

1. import numpy
2. import dlib
3. import pygame
4. import imutils
5. import opencv_python
6. import scipy

Algorithim

• Each eye is represented by 6 (x, y)-coordinates, starting at the left-corner of the eye (as if you were looking at the person), and then working clockwise around the eye

• Now that we have the eye regions, we can compute the eye aspect ratio to determine if the eyes are closed or not.

• If the eye aspect ratio falls below the threshold, we’ll start counting the number of frames the person has closed their eyes for.

• If the number of frames the person has closed their eyes in exceeds EYE_AR_CONSEC_FRAMES, we’ll sound an alarm.

Execution

Run script using:

python drowsinessDetection.py