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)
The drowsiness detection system using Python is a software application that monitors a driver's behavior and detects signs of drowsiness or fatigue. This system is built using Python programming language and computer vision techniques. The system uses a camera to capture images of the driver's face and analyze the data to detect signs of fatigue. The drowsiness detection system works by analyzing the driver's eye movements and facial expressions. The system uses computer vision techniques to detect when the driver's eyes are closed for an extended period or when they exhibit drooping eyelids. Additionally, the system also tracks the driver's head movements and monitors their facial expressions to detect any signs of fatigue or drowsiness.
"Driver Drownsiness Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.b414-b420, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306145.pdf
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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
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