Drowsiness-Detection

INSTRUCTONS TO RUN CODE

1)INSTALL mini-conda

2)RUN THE FOLLOWING COMMANDS IN CONDA CMD conda update conda conda update anaconda conda create -n env_dlib conda activate env_dlib conda install -c conda-forge dlib pip install opencv-python pip install scipy pip install playsound pip install imutils pip install argparse

3)COMMANDS TO ACTIVATE YOUR ENVIRONMENT #TO activate conda activate env_dlib

#to deactivate conda deactivate env_dlib

#to list conda env list

4)RUN THE FOLLOWING COMMAND IN CONDA-CMD python detect_drowsiness.py --shape-predictor shape_predictor_68_face_landmarks.dat --alarm alarm.wav

#Approach

HeadLowering.m It contains code for monitoring head movement.

Steps Involved :-

1. Firstly, used 'Voila Jones' algorithm for detecting face in each frames.
2. Used 'Color Space' conversion technique, converted image from RGB into YCbCr format.
3. Used 'Skin Segmentation' to find out the exposed face (facing forward). Calculated the percentage of skin using the defined skin color range.
4. On the basis of percentage of skin exposed, decided if the head is bent or facing sideways.