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)
Drowsy driving is one of the major causes of road accidents globally. As per the National Highway Traffic Safety Administration (NHTSA), drowsy driving causes around 100,000 accidents per year, resulting in around 1,500 fatalities and 40,000 injuries. This thesis proposes a real-time deep learning and machine learning-based system for drowsy driver detection and alert to avoid accidents. The system utilizes a combination of computer vision and machine learning techniques to monitor the driver's behavior and alert them in case of drowsiness.
Keywords:
machine learning and deep learning
Cite Article:
"Computer Vision and Deeptech based Drowsy Driver detection and alert to avoid the road accidents", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.b62-b66, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402108.pdf
Downloads:
000118756
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
Facebook Twitter Instagram LinkedIn