An Intelligent System to Automate Humidity Monitoring and Humidifier Control using Internet-of-Things (IoT) and Artificial Intelligence


Qian Zhang1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA


Air conditioners are widely used in family homes all over the world. However, the side effects of using air conditioners and dehumidification can cause health problems if people remain in lowhumidity environments. This paper traces the development of a software application and system to create an intelligent humidifier that automatically turns on or off for convenience or for those who cannot engage manual control. We applied our application to a humidifier for several days and conducted a qualitative evaluation of the approach. Results affirmed the usability and capacity of our automatic control system.


IoT, Machine Learning, Deep Learning, Artificial Intelligence.

Full Text  Volume 11, Number 17