Artificial Intelligence : Drowsiness Detection using DLib

If you want to learn the process to detect drowsiness while a person is driving a car with the help of AI then this course is for you.

In this course I will cover, how to use a pre–trained DLib model to detect drowsiness. This is a hands on project where I will teach you the step by step process in building this drowsiness detector using DLib.

This course will walk you through the initial understanding of DLib, About Dlib Face Detector, About Dlib Face Region Predictor, then using the same to detect drowsiness of a person in a live video stream.

I have splitted and segregated the entire course in Tasks below, for ease of understanding of what will be covered.

Task 1  :  Project Overview.

Task 2  :  Introduction to Google Colab.

Task 3  :  Understanding the project folder structure.

Task 4  :  What is Dlib

Task 5    About Dlib Face Detector

Task 6    About Dlib Face Region Predictor

Task 7  :  Importing the Libraries.

Task 8  :  Loading the dlib face regions predictor

Task 9 :  Defining the Face region coordinates

Task 10 :  Using Euclidean distance to calculate the Eye Aspect Ratio

Task 11 :  Loading the face detector and face landmark predictor