000			03006nam a22003377a 4500
003			OSt
005			20190716121249.0
008			180423b xxu||||| |||| 00| 0 eng d
020			_a[Hardbound]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aEntise, Kristine Marielle Jane,
245			_aDrunk driver detection for automobiles with voice recognition systems / _cKristine Marielle Jane Entise [and four others] .
260			_aCebu City : _bUniversity of Cebu, _c2017.
300			_a64 [18] pages :
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
501			_aTheses (Degree of Bachelor of Science in Electronics Engineering) -- University of Cebu-Banilad, 2017.
505			_aContents: 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			_aSummary: 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.
541			_xRogelio Lansa _yElectronics Communication Engineering _zElectronic Communication Engineering
546			_aEnglish
700			_aGicale, Mary Grace,
700			_aNavarro, Rafael,
700			_aPesons, Andre,
700			_aPetancio, Ryan Joseph,
942			_2ddc _cTHE
998			_cAngel[new] _d04/23/2018
998			_cCharmaine[edited] _d06/10/2019
999			_c8225 _d8225