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  5. Real-time drowsiness detection system for driver monitoring
 
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Real-time drowsiness detection system for driver monitoring

Journal
IOP Conference Series
ISSN
1757-8981
1757-899X
Date Issued
2020
Author(s)
M Arunasalam
Universiti Malaysia Perlis
Naimah Yaakob
Universiti Malaysia Perlis
Amiza Amir
Universiti Malaysia Perlis
Mohamed Elshaikh Elobaid Said Ahmed
Universiti Malaysia Perlis
N F Azahar
Universiti Malaysia Perlis
DOI
10.1088/1757-899X/767/1/012066
Handle (URI)
https://iopscience.iop.org/article/10.1088/1757-899X/767/1/012066/pdf
https://iopscience.iop.org/
https://hdl.handle.net/20.500.14170/14867
Abstract
Nowadays, the rate of road accidents due to microsleep has been alarming. During microsleep, people might doze off without realizing it. For many decades, drowsiness detection system for vehicles was not among the major concerns though it turns out as one of imperative features that could have avoid microsleep and thus should be implemented in all vehicles in order to ensure safety of drivers and other vehicles on the road. To the best of our knowledge, enforcements on driving restriction during drowsiness state is yet to be implemented. The absence of such system in the current transportation systems expose drivers to great danger especially at night because accidents are highly likely to happen at night due to drowsy and fatigue drivers. Therefore, this project proposes a real-time drowsiness detection system for vehicles, featuring ignition lock to reduce accidents. An eye blink sensor is embedded in a wearable glasses and heart beat sensor is used to detect drowsiness level of drivers. The system also includes SMS notification system to relatives or friends with location details of the drowsy driver. This project is able to detect and react based on 3 levels of drowsiness by alerting the driver through buzzer. Ignition lock will be applied when high level of drowsiness is detected. Consequently, the vehicle will be slowed down and eventually stopped when dangerous level of drowsiness is detected as a safety precaution.
File(s)
Real time drowsiness detection system for driver monitoring.pdf (1.97 MB)
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