International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume3,February 2016,

Topic : Design and Develop a Monitoring System on Embedded Platform for Finding the Driver Drowsiness Using ARM Microcontroller

Authors:S. Rama Kishore || M. Amru

Abstract:The principle thought behind this work is to build up a nonintrusive system which can recognize the weakness of the driver and issue an advantageous forewarning [3]. Since endless accidents happen in light of the driver tiredness [1]. Thus this system will be useful in averting numerous mischances, and subsequently spare cash and decrease individual enduring [2]. In this paper, the location of eye state and head posture of the driver is to screen and the driver mindfulness in autos. This venture is to screen the driver's eye and head developments by utilizing webcam. This implanted venture is to outline and build up a minimal effort highlight which depends on installed stage for finding the driver sleepiness [5]. In particular, our system incorporates a webcam set on the directing section which is proficient to catch the eye developments and head developments of the Driver [4]. In the event that the driver is not focusing out and about ahead and a perilous circumstance is identified, the system will caution the driver by giving the notice sounds as the voice [6]. Our Embedded System utilizes ARM miniaturized scale controller has an element of picture preparing procedure and in addition Analog to Digital Conversion. Picture handling is any type of flag preparing for which the information is a picture, for example, a photo or video outline; the yield of picture preparing might be either a picture or an arrangement of qualities or parameters identified with the picture.

Keywords: Fatigue Detection, Driver drowsiness, Eye, Webcam, Driver monitoring system, ARM micro controller

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DOI: 01.1617/vol3/iss2/pid43752

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Dr. Allon Guez
Professor, Drexel University,

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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