Computer vision based driver assistance drowsiness detection
Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society. Driver fatigue or sleepiness decreases the driver’s reaction time, reduces attention, and affects the quality of decision making which impairs the driving experience. Therefore, in this paper, a d...
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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/85622/1/85622_Computer%20Vision%20Based%20Driver%20Assistance%20-%20paper.pdf http://irep.iium.edu.my/85622/2/85622_Computer%20Vision%20Based%20Driver%20Assistance%20-%20certificate.pdf http://irep.iium.edu.my/85622/ http://oes.ieeemy.org/nusys20/#program-and-schedule |
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| Summary: | Nowadays, drowsiness is a serious cause of traffic accidents, a problem
of major concern to society. Driver fatigue or sleepiness decreases the
driver’s reaction time, reduces attention, and affects the quality of decision making
which impairs the driving experience. Therefore, in this paper, a drowsiness
detection system is designed based on computer vision, using a cascade of classifiers
based on Haar-like features. The system is able to detect the face and eyes
of the driver and determine the eyes closure or opening, which concludes the
downiness of the driver. The paper presents the five primary steps involves which
are: video acquirement, frame separation, face detection, eyes detection and
drowsiness detection. |
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