Driver fatigue detection from facial features

The 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 importan...

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Main Author: Tee, Hui Qian
Other Authors: Wang Han
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149029
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1490292023-07-07T17:00:18Z Driver fatigue detection from facial features Tee, Hui Qian Wang Han School of Electrical and Electronic Engineering HW@ntu.edu.sg Engineering::Electrical and electronic engineering The 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-25T00:55:42Z 2021-05-25T00:55:42Z 2021 Final Year Project (FYP) Tee, H. Q. (2021). Driver fatigue detection from facial features. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149029 https://hdl.handle.net/10356/149029 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Tee, Hui Qian
Driver fatigue detection from facial features
description The 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.
author2 Wang Han
author_facet Wang Han
Tee, Hui Qian
format Final Year Project
author Tee, Hui Qian
author_sort Tee, Hui Qian
title Driver fatigue detection from facial features
title_short Driver fatigue detection from facial features
title_full Driver fatigue detection from facial features
title_fullStr Driver fatigue detection from facial features
title_full_unstemmed Driver fatigue detection from facial features
title_sort driver fatigue detection from facial features
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149029
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