Artificial Intelligence - Drowsiness Detection using DLib

Artificial Intelligence : Drowsiness Detection using DLib, available at $44.99, has an average rating of 4.5, with 15 lectures, based on 11 reviews, and has 54 subscribers.

You will learn about What is Dlib About Dlib Face Detector About Dlib Face Region Predictor Using Euclidean distance to calculate the Eye Aspect Ratio Detecting drowsiness in live video stream in Google Colab This course is ideal for individuals who are Anyone who is interested in AI. or Someone who wants to learn to use DLib to perform face regions prediction. or Someone who wants to use AI to build a drowsiness detection system. It is particularly useful for Anyone who is interested in AI. or Someone who wants to learn to use DLib to perform face regions prediction. or Someone who wants to use AI to build a drowsiness detection system.

Enroll now: Artificial Intelligence : Drowsiness Detection using DLib

Summary

Title: Artificial Intelligence : Drowsiness Detection using DLib

Price: $44.99

Average Rating: 4.5

Number of Lectures: 15

Number of Published Lectures: 14

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 14

Original Price: ?999

Quality Status: approved

Status: Live

What You Will Learn

What is Dlib

About Dlib Face Detector

About Dlib Face Region Predictor

Using Euclidean distance to calculate the Eye Aspect Ratio

Detecting drowsiness in live video stream in Google Colab

Who Should Attend

Anyone who is interested in AI.

Someone who wants to learn to use DLib to perform face regions prediction.

Someone who wants to use AI to build a drowsiness detection system.

Target Audiences

Anyone who is interested in AI.

Someone who wants to learn to use DLib to perform face regions prediction.

Someone who wants to use AI to build a drowsiness detection system.

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

Task 12 :  Using the face region coordinates to extract the left and right eye details

Task 13 :  Defining a method to play the alarm.

Task 14 :  Putting it all together.

Almost all the statistics have identified driver drowsiness as a high priority vehicle safety issue. Drowsiness has been estimated to be involved in 10-40 per cent of crashes on motorways. Fall-asleep crashes are very serious in terms of injury severity and more likely to occur in sleep-deprived individuals.

Hence this problem statement has been picked up to see how we can solve this problem to a great extent by build a drowsiness detector.

However please note, that this has been made purely for educational purpose and refrain from using the same in real world scenarios.

In this course we are going to build a drowsiness detector and use the same to detect in live video streams.

Take the course now, and have a much stronger grasp on the subject in just a few hours!

You will receive :

1. Certificate of completion from AutomationGig.

2. The Jupyter notebook and other project files are provided at the end of the course in the last section.

So what are you waiting for?

Grab a cup of coffee, click on the ENROLL NOW Button and start learning the most demanded skill of the 21st century. We’ll see you inside the course!

Happy Learning !!

[Please note that this course and its related contents are for educational purpose only]

[Music : bensound]

Course Curriculum

Chapter 1: Introduction and Getting Started

Lecture 1: Project Overview

Lecture 2: Introduction to Google Colab

Lecture 3: Understanding the project folder structure

Chapter 2: About DLIB

Lecture 1: What is Dlib

Lecture 2: About Dlib Face Detector

Lecture 3: About Dlib Face Region Predictor

Chapter 3: Building a Drowsiness Detection System

Lecture 1: Importing the libraries

Lecture 2: Loading the dlib face regions predictor

Lecture 3: Defining the Face region coordinates

Lecture 4: Using Euclidean distance to calculate the Eye Aspect Ratio

Lecture 5: Loading the face detector and face landmark predictor

Lecture 6: Using the face region coordinates to extract the left and right eye details

Lecture 7: Putting it all together.

Chapter 4: Project Files and Code

Lecture 1: Full Project Code

Instructors

AutomationGig .
ELEARNING HUB

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3 stars: 2 votes

4 stars: 2 votes

5 stars: 7 votes

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