Driver drowsiness detection is a project built using Dlib and OpenCV with Python as a backend language

Logic of project :

The project includes direct working with the 68 facial landmark detector and also the face detector of the Dlib library. The 68 facial landmark detector is a robustly trained efficient detector which detects the points on the human face using which we determine whether the eyes are open or they are closed.

Requirement - OpenCV: Install using the command pip install opencv-python. - Numpy: Install using the command pip install numpy. - Dlib: Install using the command pip install dlib. This can be a complex installation depending on your system, as it may require additional dependencies such as a C++ compiler. - Imutils: Install using the command pip install imutils. Run the Script: Execute the script by running the following command in your terminal: python drowsiness_detection.py

Team members : ADITYA SWARUP(RA2111003010698) ANURAG JAIN(RA2111003010701)
AARJU KUMAR(RA2111003010713)