IoT – eye drowsiness detection system by using Intel Edison with GPS navigation

The number of traffic accidents continues to increase due to the driver’s fatigue has become a serious problem to the society especially for the driver who drove for long dis-tance. Technology in digital computer system allows us to create a drowsiness detection sys-tem. Studies for drowsiness detec...

Full description

Bibliographic Details
Main Authors: Rohana, Abdul Karim, Auni Syahirah, Abu Bakar, Goh, Khai Shan, Gan, Lai Ta
Format: Conference or Workshop Item
Language:English
English
Published: 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22922/
http://umpir.ump.edu.my/id/eprint/22922/1/58.%20IOT%20%E2%80%93%20eye%20drowsiness%20detection%20system%20by%20using.pdf
http://umpir.ump.edu.my/id/eprint/22922/2/58.1%20IOT%20%E2%80%93%20eye%20drowsiness%20detection%20system%20by%20using.pdf
id ump-22922
recordtype eprints
spelling ump-229222018-12-24T04:53:28Z http://umpir.ump.edu.my/id/eprint/22922/ IoT – eye drowsiness detection system by using Intel Edison with GPS navigation Rohana, Abdul Karim Auni Syahirah, Abu Bakar Goh, Khai Shan Gan, Lai Ta TK Electrical engineering. Electronics Nuclear engineering The number of traffic accidents continues to increase due to the driver’s fatigue has become a serious problem to the society especially for the driver who drove for long dis-tance. Technology in digital computer system allows us to create a drowsiness detection sys-tem. Studies for drowsiness detector system has focused on development of computer vision algorithm and lack of Internet of Things (IoT) and notification system, either awake or sleep or might involve in accident, and current location. Thus, we decide to develop a drowsiness de-tection system with notification of accident and the location by using Global Positioning Sys-tem (GPS) navigation. In this system, if the driver’s eyes are closed about more than 4 seconds, the driver consider as drowsy and an alarm system will be activated to warn the driver and notify the status and location to relative for further action via message (SMS). 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22922/1/58.%20IOT%20%E2%80%93%20eye%20drowsiness%20detection%20system%20by%20using.pdf pdf en http://umpir.ump.edu.my/id/eprint/22922/2/58.1%20IOT%20%E2%80%93%20eye%20drowsiness%20detection%20system%20by%20using.pdf Rohana, Abdul Karim and Auni Syahirah, Abu Bakar and Goh, Khai Shan and Gan, Lai Ta (2018) IoT – eye drowsiness detection system by using Intel Edison with GPS navigation. In: 10th National Technical Seminar on Underwater System Technology (NUSYS) 2018, 26 - 27 September 2018 , Universiti Malaysia Pahang, Pekan. pp. 1-7.. (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Rohana, Abdul Karim
Auni Syahirah, Abu Bakar
Goh, Khai Shan
Gan, Lai Ta
IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
description The number of traffic accidents continues to increase due to the driver’s fatigue has become a serious problem to the society especially for the driver who drove for long dis-tance. Technology in digital computer system allows us to create a drowsiness detection sys-tem. Studies for drowsiness detector system has focused on development of computer vision algorithm and lack of Internet of Things (IoT) and notification system, either awake or sleep or might involve in accident, and current location. Thus, we decide to develop a drowsiness de-tection system with notification of accident and the location by using Global Positioning Sys-tem (GPS) navigation. In this system, if the driver’s eyes are closed about more than 4 seconds, the driver consider as drowsy and an alarm system will be activated to warn the driver and notify the status and location to relative for further action via message (SMS).
format Conference or Workshop Item
author Rohana, Abdul Karim
Auni Syahirah, Abu Bakar
Goh, Khai Shan
Gan, Lai Ta
author_facet Rohana, Abdul Karim
Auni Syahirah, Abu Bakar
Goh, Khai Shan
Gan, Lai Ta
author_sort Rohana, Abdul Karim
title IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
title_short IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
title_full IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
title_fullStr IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
title_full_unstemmed IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
title_sort iot – eye drowsiness detection system by using intel edison with gps navigation
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22922/
http://umpir.ump.edu.my/id/eprint/22922/1/58.%20IOT%20%E2%80%93%20eye%20drowsiness%20detection%20system%20by%20using.pdf
http://umpir.ump.edu.my/id/eprint/22922/2/58.1%20IOT%20%E2%80%93%20eye%20drowsiness%20detection%20system%20by%20using.pdf
first_indexed 2023-09-18T22:34:06Z
last_indexed 2023-09-18T22:34:06Z
_version_ 1777416480060604416