International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 1

Survey Paper | Engineering Applications of Artificial Intelligence | India | Volume 10 Issue 6, June 2021


Smart Vehicle Connectivity for Safety Applications - Drowsiness Detection and System Alert

Orion P. Fernandes, Mohd. Abdul Raheem


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.


Keywords: Eye extraction, DLIB, Facial Extraction, Drowsiness


Edition: Volume 10 Issue 6, June 2021,


Pages: 565 - 567


How to Cite this Article?

Orion P. Fernandes, Mohd. Abdul Raheem, "Smart Vehicle Connectivity for Safety Applications - Drowsiness Detection and System Alert", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21606144632, Volume 10 Issue 6, June 2021, 565 - 567

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