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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 1, JANUARY 2022

“M.L & A.I based drowsiness detection of driver by using Raspberry Pi”

Ayushi Gupta, Vanshika Umare, Anuradha Khune, Sanyami Gulhane, Arpit Topre, Prof. Vaishnavi Ganesh

DOI: 10.17148/IJARCCE.2022.11127
 According to the survey, there are lots of road accident occurs by the driver drowsiness in the world.  Drowsiness occurs due to poor sleep, variety of drugs, also disgust caused by driving vehicles for long time.  Every year 1.24 million people die on the road; almost 6% of all the accidents are yield by drivers driving in a drowsy condition; and most of the accidents of this type result in casualties.  To reduce this problem and to negate these deadly accidents, the driver needs to be constantly under observation.  By using such kind of system which would prevent accidents and closely monitor and supervise, counsel the driver in order to prevent all of the above mentioned causes, of accidents due to human faults.  Today in the market there are few drowsiness detection equipment that help in detecting drowsiness which are categories into four types.

How to Cite:

[1] Ayushi Gupta, Vanshika Umare, Anuradha Khune, Sanyami Gulhane, Arpit Topre, Prof. Vaishnavi Ganesh, ““M.L & A.I based drowsiness detection of driver by using Raspberry Pi”,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11127