Citation

Abdul Razak, Siti Fatimah and Utman Ali, Mohd Arshad Ali and Yogarayan, Sumendra and Abdullah, Mohd Fikri Azli (2022) IoT Based Alcohol Concentration Monitor for Drivers. In: 2022 4th International Conference on Smart Sensors and Application (ICSSA), 26 - 28 July 2022, Kuala Lumpur, Malaysia.

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Abstract

The number of accidents caused by drunk driving has alarmingly increased over the years. Hence, this requires a workaround that will mitigate the threat posed by alcohol-intoxicated drivers. This study aims to develop a system that prevents drunk driving by developing an IoT based system that can sense alcohol intoxication levels in a driver’s breath. When the system detects an exceeding level of alcohol in the breath sample, the system will cut the electric supply to the servo motor, and an SMS will be sent to the relevant authorities and the exact location using the GPS module. Therefore, preventing alcohol-intoxicated drivers from being on the road can be reduced, and the safety of road users can increase. This will help deter the painful consequences and losses that occur because of drunk drivers on the road, as well as offer an economically efficient solution for prevention of drunk driving.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Internet of Things, alcohol detection, drunk driving, in-vehicle system, concentration
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 Oct 2022 07:52
Last Modified:	31 Oct 2022 07:52
URII:	http://shdl.mmu.edu.my/id/eprint/10591

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