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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Volume 11 | Issue 2
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
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Published Paper Details
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| Paper Title: | Driver Drowsiness Detection System |
| Authors Name: | Nischay Sinha , Muskan Chaudhary , Nadra Raies |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186926
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| Published Paper Id: | IJRTI2305196 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | This research paper presents a project aimed at developing driver drowsiness detection system which offers several benefits. Firstly, it enhances road safety by proactively alerting drivers and mitigating the risks associated with drowsiness. Secondly, it provides valuable data for analysis, enabling stakeholders to understand patterns of drowsy driving and formulate preventive measures. Lastly, the system can be integrated into existing vehicle infrastructure with relative ease, making it scalable and cost-effective for widespread adoption. The proposed system utilizes a combination of hardware and software modules to monitor the driver's physiological and behavioral parameters in real-time. The hardware components include a camera for capturing facial images, sensors to measure vital signs (e.g., heart rate, breathing rate), and an IoT-enabled device (e.g., Raspberry Pi) for data processing and communication. The software module employs machine learning algorithms and computer vision techniques to analyze the collected data and identify signs of drowsiness. |
| Keywords: | Detection, Sensors and Camera |
| Cite Article: | "Driver Drowsiness Detection System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2099 - 2101, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305196.pdf |
| Downloads: | 000205369 |
| 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: IJRTI2305196
Registration ID:186926
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 2099 - 2101 Country: Gurugram, Haryana, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305196 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305196 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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