Development of carbon monoxide detection for vehicle using IoT system

Hasnan, Muhamad Hilmi (2021) Development of carbon monoxide detection for vehicle using IoT system. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Carbon monoxide (CO) gas leakage in vehicles has become more common in recent years. The leaking of a vehicle's exhaust system poses a significant risk to humans. The human respiratory and circulatory systems, for example, can be affected by hazardous gas, and a shortage of oxygen in the bloodstream can injure the driver and passengers' brains. Hazardous gas primarily affects drivers who have been driving and are on a long trip in a vehicle. The driver is supposed to take a break and nap in their car after along drive. During the hot season, the air conditioner (AC) will be typically turned on, ensuring that the engine is frequently turned on, allowing CO gas leakage into the car. This project is designed at an affordable prices to solve this problem by using the MQ-7 sensor to detect CO gas. To improve the efficiency of this system, an Arduino UNO is utilised as a microcontroller to control both the input and output processes. The CO gas concentration in the car is displayed as a ppm value on the LCD display. Alarms are activated by the use of LEDs and buzzers. ESP8266 is used to send an alert message through WhatsApp application to an authorised person and GPS technology are utilised as tracking device, which functioned to track the location on longitude and latitude. Furthermore, this system is equipped with a power window motor that automatically rolls down the window when the CO gas concentration is dangerously high. As a result, the concentration of CO gas in the car can be controlled, preventing CO gas poisoning and death.

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