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

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 (Unpublished)

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Abstract

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).

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Eye drowsiness; Intel Edison; GPS navigation; IoT; Smartphone setup
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 24 Dec 2018 04:53
Last Modified: 24 Dec 2018 04:53
URI: http://umpir.ump.edu.my/id/eprint/22922
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