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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/149029 |
| _version_ | 1824455918424686592 |
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| author | Tee, Hui Qian |
| author2 | Wang Han |
| author_facet | Wang Han Tee, Hui Qian |
| author_sort | Tee, Hui Qian |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:45:50Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/149029 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:45:50Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Electrical and electronic engineering Tee, Hui Qian Driver fatigue detection from facial features |
| title | 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_short | Driver fatigue detection from facial features |
| title_sort | driver fatigue detection from facial features |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/149029 |
| work_keys_str_mv | AT teehuiqian driverfatiguedetectionfromfacialfeatures |