World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Abstract

AUTOMOBILE DRIVER ALCOHOL LEVEL MONITORING SYSTEM

*Dr. Oke Alice Oluwafunke, Falohun Adeleye Samuel and Alo Oluwaseun Olubisi

ABSTRACT

Automobiles were invented to help or ease human stress and make transportation easier but this invention seems to have several negative effects one of which is road accident. Drunk driving has been found to be one of the major causes of road accidents as it does not only affect the life of the driver but also passengers. Hence, the need for automobile driver alcohol level monitoring system that can address the aforementioned dangers. In this paper, a modeled automobile was presented with hardware and software components. An alcohol sensor to analyze breathes and voice recognition module serve as input to a microcontroller programmed to deactivate the ignition system of an automobile at the detection of alcohol.

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