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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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Published Paper Details
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| Paper Title: | Driver Drowsiness Detection System |
| Authors Name: | Divya Jyoti Bharti , Aditya Narayan Singh , Prof. Rashmi K B |
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| Author Reg. ID: |
IJRTI_187395
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| Published Paper Id: | IJRTI2306141 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | This project involves the localization of the eyes in facial images using a MATLAB program. The purpose is to detect whether the eyes are open or closed and to identify drowsiness in individuals. The main objective of this study is to enhance road safety and prevent accidents by detecting driver drowsiness. Currently, driver fatigue significantly contributes to a large number of vehicle accidents. Statistics indicate that approximately 1,200 fatalities and 76,000 injuries occur annually due to crashes related to fatigue. Therefore, developing technologies that can detect and prevent drowsiness while driving is crucial in the field of accident prevention systems. Effective methods must be devised to mitigate the risks associated with drowsiness. This project aims to create a prototype drowsiness detection system. The primary focus is to design a real-time monitoring system capable of accurately determining whether the driver's eyes are open or closed. By monitoring the eyes, it is possible to identify signs of driver fatigue early on and potentially prevent car accidents. The detection of drowsiness involves analyzing patterns of facial images, including eye movements and blink rates. The analysis of facial images is a well-established research domain with diverse applications such as face recognition, virtual tools, and human identification security systems. |
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| Cite Article: | "Driver Drowsiness Detection System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.933 - 938, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306141.pdf |
| Downloads: | 000205268 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2306141
Registration ID:187395
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 933 - 938 Country: BANGALORE, KARNATAKA, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306141 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306141 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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