Drunk driver detection

Also available in printed version

Détails bibliographiques
Auteur principal: Nurul Huda Ahmad Badawi
Autres auteurs: Sallehuddin Ibrahim, supervisor
Format: Bachelor thesis
Langue:anglais
Publié: Universiti Teknologi Malaysia 2025
Sujets:
Accès en ligne:https://utmik.utm.my/handle/123456789/47420
Abstract Abstract here
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author Nurul Huda Ahmad Badawi
author2 Sallehuddin Ibrahim, supervisor
author_facet Sallehuddin Ibrahim, supervisor
Nurul Huda Ahmad Badawi
author_sort Nurul Huda Ahmad Badawi
description Also available in printed version
format Bachelor thesis
id utm-123456789-47420
institution Universiti Teknologi Malaysia
language English
publishDate 2025
publisher Universiti Teknologi Malaysia
record_format dspace
record_pdf Abstract
spelling utm-123456789-474202025-08-21T01:53:55Z Drunk driver detection Nurul Huda Ahmad Badawi Sallehuddin Ibrahim, supervisor Electrical engineering Also available in printed version Studies show that drunk driving, which is one of the main causes of road traffic accidents, has increased rapidly in statistics all around the world. Therefore, this is evident that a preventive measure to avoid accidents should be taken as soon as possible. The purpose of this study is to discuss, design, and develop a prototype of drunk driver detection and alert system. The prototype aims to provide an alert system which can minimize road accidents and improve road safety. The response of the alcohol sensor is analysed with respect to various distance from source and time taken for detection which are the crucial parts of the design. The developed prototype quickly detects the level of Blood Alcohol Concentration (BAC) using a human breath sample by estimating the alcohol level corresponding to the resistance of the alcohol sensor. Analysis of results shows that the closer the distance from the source, the faster the time taken for alcohol sensor to detect. Meanwhile, the higher the concentration of alcohol, the higher the value of BAC readings are displayed on the LCD panel. Upon detection, the LED lights up and the buzzer is activated. Also, a message is displayed on LCD panel showing the level of BAC and driver�s status. zulaihi UTM 56 p. Project Paper (Sarjana Muda Kejuruteraan (Elektrik)) - Universiti Teknologi Malaysia, 2019 2025-03-12T05:44:47Z 2025-03-12T05:44:47Z 2019 Bachelor thesis https://utmik.utm.my/handle/123456789/47420 vital:128553 valet-20190924-160725 ENG Closed Access UTM Complete Unpublished Completion application/pdf Universiti Teknologi Malaysia
spellingShingle Electrical engineering
Nurul Huda Ahmad Badawi
Drunk driver detection
thesis_level Other
title Drunk driver detection
title_full Drunk driver detection
title_fullStr Drunk driver detection
title_full_unstemmed Drunk driver detection
title_short Drunk driver detection
title_sort drunk driver detection
topic Electrical engineering
url https://utmik.utm.my/handle/123456789/47420
work_keys_str_mv AT nurulhudaahmadbadawi drunkdriverdetection