Smart Vehicle Connectivity for Safety Applications - Drowsiness Detection and System Alert
Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 6)Publication Date: 2021-06-05
Authors : Orion P. Fernandes; Mohd. Abdul Raheem;
Page : 565-567
Keywords : Eye extraction; DLIB; Facial Extraction; Drowsiness;
Abstract
In India, around 1.5 lakh people die per year in road accidents due to drowsiness. Drowsiness or Fatigue is a major cause of road accidents and has extensive implications for street safety. Drowsy drivers can be alerted in advance to prevent disastrous accidents. Drowsiness is a state of sleepiness that abnormally happens during day time or when a personis tired or drunk. A spread of drowsiness detection strategies exists that monitor the driving force?s drowsiness state at the same time as driving and alarm the drivers if they're no longer concentrating on driving. The level of drowsiness can be inferred through various facial expressions like a yawn, eye blink, and head movement. The condition of the driver?s body is analysed for driver drowsiness detection. So, this utility overcomes the trouble of drowsiness detection whilst riding the use of eye extraction, facial extraction with DLIB.
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Last modified: 2021-07-05 13:46:22