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Driver Behaviour Monitoring And Alert System By Using Machine Learning

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dc.contributor.authorNur Arina Hazwani Samsun Zainien_US
dc.contributor.authorFauzun Abdullah Asuhaimien_US
dc.contributor.authorLiyana Ramlien_US
dc.contributor.authorKhairul Nabilah Zainul Ariffinen_US
dc.date.accessioned2024-05-31T02:12:33Z
dc.date.available2024-05-31T02:12:33Z
dc.date.issued2020-10-15
dc.description3 rd INTERNATIONAL SEMINAR ON ISLAM AND SCIENCE 2020 (SAIS 2020) COVID-19: IMPLICATION, IMPACT AND SOLUTION Date: 15 October 2020 Organized by: Persatuan Kakitangan Akademik USIM (PKAUSIM) In Collaboration with: International Halal and Fatwa Centre (iFFAH) & Fakulti Syariah dan Undang-Undang (FSU)en_US
dc.description.abstractA 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.en_US
dc.identifier.epage1323
dc.identifier.isbneISBN : 9789674408367
dc.identifier.spage1311
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/18346
dc.language.isoen_USen_US
dc.publisherUniversiti Sains Islam Malaysiaen_US
dc.relation.conferenceE-Proceeding : Seminar Antarabangsa Islam Dan Sains (SAIS 2020)en_US
dc.subjectDriver behaviour, Machine Learning, Drowsiness,en_US
dc.titleDriver Behaviour Monitoring And Alert System By Using Machine Learningen_US
dc.typeArticleen_US
dspace.entity.typePublication

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2020 SAIS