Direct current motor controller using alcohol sensor with IoT

Ayub, Imran Alif (2024) Direct current motor controller using alcohol sensor with IoT. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full text) Direct current motor controller using alcohol sensor with IoT.pdf - Submitted Version Download (1MB)

Abstract

To combat the widespread problem of drunk driving, this study integrates an alcohol sensor with a motor control system in vehicles. By automatically modifying the motor's movement in response to the driver's blood alcohol content (BAC), the goal is to improve road safety. The system measures the BAC in the car using a MQ-3 alcohol sensor. NodeMCU and Arduino UNO as a microcontroller. The motor will stop and prevent driver from running the vehicle if the BAC is higher than the set level which 0.08% following Malaysia legal restriction. A location will send to relative as soon as the alcohol level is high and also sms if the location is dont have internet coverage. The process includes configuring hardware and using the C++ programming language. The system's effectiveness in detecting alcohol levels and its potential to reduce drunk driving are demonstrated by result findings. 40% alcohol-content liquor was used for the sensor's calibration in either direct and breath. Breath and direct are measured at 435 ppm and 645 ppm. The direct reading is higher than the breath reading theoretically proves how effective the sensor functions.

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