ABSTRACT
Poor indoor environmental quality (IEQ) has become a global concern for World Health Organization (WHO),and its impact on health and well-being has been exacerbated by the COVID-19 pandemic. To monitor and sanitizeindoor air, this study develops a cost-effective and customizable IEQ monitoring system to detect unhealthy andlow-comfort air levels. This system uses ThingSpeak (MATLAB), microcontrollers (Arduino Uno), and variouslow-cost sensors to measure indoor air quality (IAQ) and IEQ in terms of gas, particulate matter, temperature, soundlevel, and ultraviolet (UV) light. The presented system is validated with respect to temperature, relative humidity,and particulate matter by benchmarking against the Camfil air image sensor manufactured by Camfil AB, Stockholm,Sweden. The average error of temperature, relative humidity, and PM2.5 are 0.55%, 5.13%, and 3.45%, respectively © by the authors. Licensee TAETI, Taiwan. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/).