Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is c...
Main Author: | Huong, Nice Quan |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/1983/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware.pdf |
Similar Items
-
Drowsiness detection for car assisted driver system using image processing analysis
by: Ani Syazana, Jasni
Published: (2010) -
Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems †
by: Zainah, Md Zain, et al.
Published: (2023) -
The study of time domain features of EMG signals for detecting driver’s drowsiness
by: Faradila, Naim, et al.
Published: (2022) -
Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection
by: Jie, Ma, et al.
Published: (2013) -
4D : A real-time driver drowsiness detector using deep learning
by: Jahan, Israt, et al.
Published: (2023)