Paper Title

Driver Driver Drowsiness Detection System

Authors

Aniket Gupta , Shreya Ingale , Saloni Goyal , Afsha Shaikh , Suchitra Deokate

Keywords

Drowsiness, Fatigue, unassisted, simulating.

Abstract

One of the most frequent causes of driving accidents around the world is driver drowsiness or fatigue. As a result, many people suffer fatal injuries and severe enough injuries that they can never even stand unassisted again. Their entire lives dependent on others. The primary focus of the project is image processing, and by simulating it on the Raspberry Pi Microprocessor, we will build a Driver Drowsiness Detection System. Every type of vehicle in the world can be equipped with the system, which will alert the driver or passengers if it notices signs of sleepiness in the driver's eyes. By calculating the amount of time, the system can determine whether the eyes are sleepy.

How To Cite

"Driver Driver Drowsiness Detection System", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c291-c292, March-2023, Available :https://ijnrd.org/papers/IJNRD2303240.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : c291-c292

Other Publication Details

Paper Reg. ID: IJNRD_187776

Published Paper Id: IJNRD2303240

Downloads: 000118856

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303240

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303240

About Publisher

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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