Paper Title
Driver Drowsiness Detection System
Article Identifiers
Authors
Aniket Gupta , Shreya Ingale , Saloni Goyal , Afsha Shaikh , Suchitra Deokate
Keywords
Drowsiness, Fatigue, unassisted, simulating.
Abstract
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.
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How To Cite (APA)
Aniket Gupta, Shreya Ingale, Saloni Goyal, Afsha Shaikh, & Suchitra Deokate (May-2023). Driver Drowsiness Detection System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g780-g789. https://ijnrd.org/papers/IJNRD2305696.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : g780-g789
Other Publication Details
Paper Reg. ID: IJNRD_189504
Published Paper Id: IJNRD2305696
Downloads: 000121977
Research Area: Engineering
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305696.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305696
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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