Preventing Drowsy-Driving Accidents Using Convolutional Neural Networks

Preventing Drowsy-Driving Accidents Using Convolutional Neural Networks

Preventing Drowsy-Driving Accidents Using Convolutional Neural Networks - Full walkthrough with Keras, Face Recognition, OpenCV, & PIL.

Full walkthrough with Keras, Face Recognition, OpenCV, & PIL

Drowsy Driving: A Serious Problem

The National Highway Traffic Safety Administration estimates that there are 91,000 crashes involving drowsy drivers a year that lead to an estimated 50,000 injuries and nearly 800 deaths. Additionally, 1 in 24 adult drivers report having fallen asleep at the wheel in the past 30 days. Research has even found that going more than 20 hours without sleep is the equivalent of having a blood-alcohol concentration of 0.08% — the U.S. legal limit.

Because of this serious problem, A group of other data scientists and I set out to develop a neural network that can detect if eyes are closed, and when applied in tandem with computer vision, to detect if a live human has had their eyes closed for more than a second. This sort of technology is useful for anybody interested in increased driving safety, including commercial & everyday drivers, car companies, and vehicle-insurance companies.

Table of Contents:

Building a Convolutional Neural Network

Webcam App

opencv drowsiness neural-networks keras data-science

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

How To Build A Data Science Career In 2021

In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

What Are The Advantages and Disadvantages of Data Science?

Online Data Science Training in Noida at CETPA, best institute in India for Data Science Online Course and Certification. Call now at 9911417779 to avail 50% discount.

Data Science vs Big Data: Difference Between Data Science & Big Data

In the digital era that we live in, data has become the biggest and most valuable asset for most organisations. Data is rapidly transforming the way we live and communicate, and it is by collecting, sorting and studying this data, that organisations across the world are looking for ways to impact their bottom lines. In this post, we'll learn Data Science vs Big Data: Difference Between Data Science & Big Data.

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Your Data Architecture: Simple Best Practices for Your Data Strategy

Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.