This paper is published in Volume-8, Issue-2, 2022
Area
Deep Learning
Author
Bobby Tripathi, Harsh Kumar singh, Ragini Kumari
Org/Univ
Galgotias University, Greater Noida, Uttar Pradesh, India
Pub. Date
04 May, 2022
Paper ID
V8I2-1337
Publisher
Keywords
OpenCV, Drowsiness, Keras, Detection

Citationsacebook

IEEE
Bobby Tripathi, Harsh Kumar singh, Ragini Kumari. Drowsiness detection using OpenCV, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Bobby Tripathi, Harsh Kumar singh, Ragini Kumari (2022). Drowsiness detection using OpenCV. International Journal of Advance Research, Ideas and Innovations in Technology, 8(2) www.IJARIIT.com.

MLA
Bobby Tripathi, Harsh Kumar singh, Ragini Kumari. "Drowsiness detection using OpenCV." International Journal of Advance Research, Ideas and Innovations in Technology 8.2 (2022). www.IJARIIT.com.

Abstract

With this python project, we will make Drowsiness Detection System. An incalculable number of individuals drive on the roadway day and night. Cabbies, transport drivers, transporter, and individuals voyaging significant distances experience a lack of sleep. Because of this, it turns out to be extremely dangerous to drive when feeling lethargic. Most of the mishaps occurred because of the tiredness of the driver. In this way, to prevent these mishaps we are constructing a framework using python, OpenCV, and Keras which will caution the driver when he feels drowsy. Drowsiness Detection is a security innovation that can prevent mishaps that can be brought about by drivers who dozed off while driving. The goal of this halfway python project is to make a Drowsiness Detection system that will identify that an individual’s eyes are shut for a couple of moments. The framework will caution the driver when tiredness is recognized.