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. The program contains 3 files, which are ## Files - **face_and_eye_detector_single_image.py** - Detects face and eye from a single image. Demo- - **face_and_eye_detector_webcam_video.py** - Detects face and eye in a webcam feed by user![Webcam Face and Eye Detection] - **drowsiness_detect.py**- This script detects if person is drowsy or not using webcam video feed ## Requirements > > IMPORTANT Download `shape_predictor_68_face_landmarks.dat.bz2` from [Shape Predictor 68 features](http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2) Extract the file in the project folder using ``bzip2 -dk shape_predictor_68_face_landmarks.dat.bz2`` numpy==1.15.2 dlib==19.16.0 pygame==1.9.4 imutils==0.5.1 opencv_python==3.4.3.18 scipy==1.1.0 Use `pip install -r requirements.txt`to install the given requirements. ## Usage ### Detect Face and Eyes in a Single Image Put your file to be detected in **images** folder with name **test.jpeg** or change the file path in `Line : 14 face_and_eye_detector_single_image.py` to your image file. Run script using: python face_and_eye_detector_single_image.py ### Detect Face and Eyes in a Webcam Feed Run script using: python face_and_eye_detector_webcam_video.py ### Drowsiness Detection Run script using: python drowsiness_detect.py The algorithm for Eye Aspect Ratio was taken from pyimagesearch.com blog, by Adrian RoseBrock. # drowsiness-py