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Development of drivers drowsiness level monitoring system using eyelid movement patterns / Dann Adrian A. Dimalibot [and four others].

By:

Dimalibot, Dann Adrian A [author]

Contributor(s):

Material type: Text

TextPublication details: Manila : National University, 2018.Description: unnumbered leaves : color illustrations ; 28 cmSubject(s):

DROWSINESS DETECTION

LOC classification:

UGT COE BSECE .D56 2018

Contents:

Chapter 1. The Project and its setting -- Chapter 2.Theoretical Framework -- Chapter 3. Methodology -- Chapter 4.Results and Discussions -- Chapter 5. Conclusion and Recommendation -- References.

Summary: The Drowsiness Detection System is a portable automated system that can be integrated in a car and detects the drowsiness level of the drives, along with the alarm and vibrating pads for alert and safety purposes.

Item type:

Thesis

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Thesis	National University - Manila	LRC - Main Thesis	Electronics and Communications Engineering	UGT COE BSECE .D56 2018 (Browse shelf(Opens below))	c.1	Available		UGTHE000002842

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Includes bibliographical references.

Chapter 1. The Project and its setting -- Chapter 2.Theoretical Framework -- Chapter 3. Methodology -- Chapter 4.Results and Discussions -- Chapter 5. Conclusion and Recommendation -- References.

The Drowsiness Detection System is a portable automated system that can be integrated in a car and detects the drowsiness level of the drives, along with the alarm and vibrating pads for alert and safety purposes.

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