Integrated Speed and Driver Fatigue Detected with Method Image Processing

International Journal of Advanced Technology in Mechanical, Mechatronics and Material

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Field Value
 
Title Integrated Speed and Driver Fatigue Detected with Method Image Processing
 
Creator Pranoto, Hadi
Adriansyah, Andi
Wahab, Abdi
Feriyanto, Dafit
 
Subject Fatigue; Image processing; Sleepiness scale
 
Description Integrated Speed and fatigue drivers detected with the image processing method are devices that can give a warning of fatigue when the driver operates a truck or bus, so that potential accidents can be minimized caused by driver fatigue. This device uses the image processing method by image processing with camera right on the driver's face to determine facial changes that include formulated driver yawning intervals in the form of Mount Aspect Ratio (MAR), Eye Aspect Ratio (ER), Eye State (ES), Mouth State (MS), and the Slifa Sleepiness Scale (SSS) is a scale used to describe the driver's sleep level. The results of this research are a device that can detect driver fatigue levels by connecting to speed limiting devices, from the data obtained when range float EAR value less than 0.2 eye close and then value 0.2-0.3 eye condition half open and then greater than 0.3 eye condition open, range float MAR value less than 0.5 mouth close condition, 0,5-0,8 mouth half open and greater than 0.8 mouth open condition, SSS value scale 1-9, if driver condition scale 1-5 fatigue not detected, if the driver scale 6-9 driver fatigue detected.
 
Publisher Institute for Research on Innovation and Industrial System (IRIS)
 
Contributor
 
Date 2020-03-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijatec.com/index.php/ijatmmm/article/view/7
10.37869/ijatec.v1i1.7
 
Source International Journal of Advanced Technology in Mechanical, Mechatronics and Materials; Vol 1, No 1 (2020); 6-12
2720-9008
2720-8990
 
Language eng
 
Relation http://ijatec.com/index.php/ijatmmm/article/view/7/pdf
 
Rights Copyright (c) 2020 International Journal of Advanced Technology in Mechanical, Mechatronics and Materials
 

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