Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149029
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dc.contributor.authorTee, Hui Qianen_US
dc.date.accessioned2021-05-25T00:55:42Z-
dc.date.available2021-05-25T00:55:42Z-
dc.date.issued2021-
dc.identifier.citationTee, H. Q. (2021). Driver fatigue detection from facial features. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149029en_US
dc.identifier.urihttps://hdl.handle.net/10356/149029-
dc.description.abstractThe increase in demand for private cars has resulted in the rising number of cars on the road over the past 10 years. Reasonably, the increase number of cars on the road means higher probability of road accident. Given that drivers’ fatigue is one of the main causes of road accidents, it is important for drivers’ fatigue to be monitored and detected early. The basis of this project is to develop a software to detect driver fatigue using the mobile phone front camera. This project aspires to become an essential application to monitor drivers on the road, and to reduce road accidents.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleDriver fatigue detection from facial featuresen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWang Hanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailHW@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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