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
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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