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Driver Behaviour Monitoring And Alert System By Using Machine Learning
Date Issued
2020-10-15
Author(s)
Nur Arina Hazwani Samsun Zaini
Fauzun Abdullah Asuhaimi
Liyana Ramli
Khairul Nabilah Zainul Ariffin
Abstract
A person who experienced micro-sleep tends to have decreasing concentration in their driving and this is one of the reasons why the number of road accidents system was designed to detect the sypmtom of microsleep which is the drowsiness of the driver by putting emphasis on the driver’s eyes and mouth. The system utilized the machine learning algorithm, MATLAB simulator and a camera. The camera is pointed directly towards the driver’s face and when the camera captures features like drooping eyelids and yawning, an alarm will automatically set off to alert the driver and the condition of the driver.
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File(s)
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Name
DRIVER BEHAVIOUR MONITORING AND ALERT SYSTEM BY USING MACHINE LEARNING.pdf
Size
494.36 KB
Format
Adobe PDF
Checksum
(MD5):175f2121964abc3567bfd6b44b68f975