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This work is licensed under a Creative Commons Attribution 4.0 International License.
DRIVER DROWSINESS DETECTION SYSTEM
Manjunath S,Banashree P, Shreya M,Sneha Manjunath Hegde, Nischal H P
DOI: 10.17148/IJARCCE.2022.11714
Abstract— Recently, techniques for reducing the effects of drowsiness have to be developed because of the danger it poses while driving. Driver fatigue and distractions can cause a lack of alertness, which can lead to driver inattention. Driver distraction happens when something or someone diverts attention from the task of driving. Driver sleepiness, in contrast to driver distraction, lacks a cause and is instead characterized by a gradual loss of focus on the road and other vehicles.
Keywords— Drowsiness, OpenCV, Dlib, facial features, video processing
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Manjunath S,Banashree P, Shreya M,Sneha Manjunath Hegde, Nischal H P, “DRIVER DROWSINESS DETECTION SYSTEM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11714