|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Driver Drowsiness Detection System : Enhancing Road Safety |
| Authors Name: | Vinayak Anant Patil , Atharv Suhas Sawant , Vinayak Nilkanth Burge , Rajvardhan Abhijit Patil , Sushant S Patole |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_215149
|
| Published Paper Id: | IJNRD2403159 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | As nations around the globe are becoming economically stronger and thus leading to more financially capable citizens, more people now own their personal vehicles. Although the road infrastructure has improved, it is still unable to cope up with the increasing population. With that, more and more road accidents are increasing. According to the Indian government, in 2019 about 151,000 people died in road accidents. In most cases, people die because they were not immediately provided medical assistance because there is no definite system that can do so. As technologies like IoT have advanced, there is now a need to develop a system that can immediately update the responsible authorities with all the relevant data on the occurrence of a road accident. This paper analyses and proposes a way IoT can be used in this regard in a way that can save thousands of lives. Along with IoT, we have incorporated machine learning methods and image processing to accurately identify a road accident. The sensors like accelerometer, gyroscope, camera, etc. provide data to a microprocessor which matches the sensor data with the machine learning model and determines if there is an accident or not and if it is, the device sends the related metrics to the server through the internet. Here, instead of using a central server topology, we have incorporated Edge computing which enables us to process requests faster locally. This further optimizes response time. Once the data is reached to an edge server, it determines the nearest hospitals, police stations by looking at the GPS data and sends a notification to them and to the registered phone number by the user. This way, it becomes a life-saving technology. |
| Keywords: | Economic growth, insufficient road infrastructure, rising road accidents, delayed medical assistance. |
| Cite Article: | "Driver Drowsiness Detection System : Enhancing Road Safety ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b530-b534, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403159.pdf |
| Downloads: | 00042 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2403159 Registration ID: 215149 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: b530-b534 Country: Kolhapur , Maharashtra , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403159 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403159 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn