Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/149029
Title: | Driver fatigue detection from facial features | Authors: | Tee, Hui Qian | Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Tee, H. Q. (2021). Driver fatigue detection from facial features. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149029 | Abstract: | 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. | URI: | https://hdl.handle.net/10356/149029 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tee Hui Qian (FYP Final Report).pdf Restricted Access | 1.87 MB | Adobe PDF | View/Open |
Page view(s)
335
Updated on Mar 17, 2025
Download(s) 50
27
Updated on Mar 17, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.