Drunk driver detection for automobiles with voice recognition systems / (Record no. 8225)

000 -LEADER
fixed length control field 03006nam a22003377a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190716121249.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180423b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number [Hardbound]
040 ## - CATALOGING SOURCE
Original cataloging agency University of Cebu-Banilad
Transcribing agency University of Cebu-Banilad
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Entise, Kristine Marielle Jane,
245 ## - TITLE STATEMENT
Title Drunk driver detection for automobiles with voice recognition systems /
Statement of responsibility, etc Kristine Marielle Jane Entise [and four others] .
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cebu City :
Name of publisher, distributor, etc University of Cebu,
Date of publication, distribution, etc 2017.
300 ## - PHYSICAL DESCRIPTION
Extent 64 [18] pages :
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type volume
501 ## - WITH NOTE
With note Theses (Degree of Bachelor of Science in Electronics Engineering) -- University of Cebu-Banilad, 2017.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Contents: Chapter I The problem and its scope -- Chapter II Review of related literature -- Chapter III Testing and refinement -- Chapter IV Research findings,conclusion and recommendations -- Chapter V Conceptualizing the technology design.
520 ## - SUMMARY, ETC.
Summary, etc Summary: Heavy traffic and accidents caused by drunk driving are considered very important issues all around the world. The goal of this project, the drunk driver detection system for automobiles with voice recognition systems, is two-fold: to provide people who are stuck in heavy traffic a source of convenience in the voice recognition system, and to restrain intoxicated individuals from driving while under the influence of alcohol, and potentially endangering the lives and property of others, with the help of the drunk driver protection. To understand how the project works, the entire project can be split into two separate systems. the voice recognition system and the drunk driver detection system. The voice recognition system takes voice commands from the user with an android application, and then sends the voice command to the microcontroller for the command to be executed. The drunk driver detection system picks up traces of alcohol from the driver's breath and the air surrounding him and will act once the level of alcohol detected exceeds the threshold set in its microcontroller. Upon implementation of the project, the researchers found out that a single arduino board cannot handle both systems at once, so multiple arduino boards are used. The alcohol sensors used in the prototype are also highly sensitive within a small radius, making sensor placement very important. Sensors must be placed near the drivers seat for better accuracy and must be cleverly hidden to prevent any form of tampering to the drunk driver detection system.<br/>
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Deans/Chairperson
Department
Subject Category Electronic Communication Engineering
546 ## - LANGUAGE NOTE
Language note English
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gicale, Mary Grace,
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Navarro, Rafael,
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pesons, Andre,
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Petancio, Ryan Joseph,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Type of record Thesis
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Encoded by Angel[new]
Date encoded 04/23/2018
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Encoded by Charmaine[edited]
Date encoded 06/10/2019
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Library Location Shelving location Date acquired Source of Acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Other Library Location
          College Library Periodicals 17/04/2017 Donated by: Dr. Judy Ann F. Gimena.   T En82dr 2017 3UCBL000025009 23/04/2018 23/04/2018 Thesis UCBL_MAIN

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