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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: June 2022

Volume 7 | Issue 6

Impact factor: 8.15

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Paper Title: Real-Time Driver Drowsiness Detection System using Facial Features
Authors Name: Ms. Mayuri B. Agale , Ms. Akshada V. Borse , Ms. Akanksha A. Chavan , Ms. Sarita S. Pawar , Ms. Pratibha V. Kashid
Unique Id: IJSDR2201046
Published In: Volume 7 Issue 1, January-2022
Abstract: In recent years, drowsiness is the main cause of the accidents in India due to lack of sleep, tiredness and so on. In order to reduce the case of vehicle accidents caused by drowsiness of the driver is to detect them and warn them using an alarm. Many techniques, such as eye retina detection, have been used to detect sleepiness by facial features. Here in this paper, we propose a method for detecting the driver’s drowsiness by detecting the person’s closed eye for a few seconds. In this report, we propose a more accurate method for detecting drowsiness, by. The main contribution for this project is the drowsiness detection and warning, which is based on the person’s open or closed eye. This project discuss on how to detect the eyes of the driver from the real time environment using the webcam represents the dashboard camera in a car. By using the real time detection, author use the built-in laptop webcam to detect the eyes of the demonstrator. The drowsiness detection ystem will detect the open and closed eye. The designed system will detect the face area and the coordinate of the eye. Detecting the face area is narrow down to detect eyes within face area. Both left and right eyes will be framed out once it found. The parameters of the eyes the eyes will be captured, whether it is closed or open. If the eyes are found closed for 4 consecutive frames, it is confirm that the driver is in drowsiness condition.
Keywords: Open CV, Tensor Flow, Detection, Drowsiness System, Machine Learning system.
Cite Article: "Real-Time Driver Drowsiness Detection System using Facial Features", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 1, page no.306 - 309, January-2022, Available :http://www.ijsdr.org/papers/IJSDR2201046.pdf
Downloads: 00096795
Publication Details: Published Paper ID: IJSDR2201046
Registration ID:193899
Published In: Volume 7 Issue 1, January-2022
DOI (Digital Object Identifier):
Page No: 306 - 309
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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