Air Quality Monitoring and Detection System in Vehicle Cabin Based on Internet of Things

Clean air quality is necessary for breathing. Air quality in-vehicle cabin somehow unknowingly endanger the health of its passengers because of harmful substances or contaminated gaseous circulated inside. The purpose of this research is to build the prototype of an air quality monitoring and detection system, implemented in the vehicle cabin to raise awareness and help humans to monitor the air quality. The system is designed based on Prototyping methods with several stages of communication, quick plan, modelling quick design, construction of the prototype, and testing system functionalities. The components used for the system are the air quality sensor, temperature and humidity sensor, carbon-monoxide sensor, dust sensor, multiplexer, microcontroller, and IoT platforms. The prototype device is connected to IoT platforms Blynk Apps and Thing Speak. Blynk Apps and Things Speak which are set up on the smartphone could display the air quality measurement results graphically. From the testing and implementation, it is shown that the designed system could function according to the purpose of detection and monitoring.