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Drowsiness of drivers is amongst the significant causes of road accidents. Every year, it increases the amounts of deaths and fatalities injuries globally. In this project, a module for Advanced Driver Assistance System (ADAS) is presented to reduce the number of accidents due to drivers’ fatigue and hence increase the transportation safety; this system deals with automatic driver drowsiness detection based on visual information and Artificial Intelligence. We proposed an algorithm to locate, track, and analyse both the drivers face and eyes to measure PERCLOS (percentage of eye closure), a scientifically supported measure of drowsiness associated with slow eye closure.
Keywords:
Face Detection, Eye Detection, Image processing, Driver Drowsiness Detection
Cite Article:
"DESIGN AND IMPLEMENTATION OF DRIVER DROWSINESS DETECTION SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1036 - 1045, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206166.pdf
Downloads:
000205351
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