IOT-BASED INDOOR ENVIRONMENTAL AIR QUALITY MONITORING SYSTEM (CO2,VOC,DUST) USING ARUDINO

Authors

  • Dr. T. Srinivasa Reddy, Putta Bhavith Reddy, Sai Bhaskar Sanganaboina, Shaik Nazeer, Shaik Asif Author

DOI:

https://doi.org/10.48047/wyhfna48

Keywords:

Internet of Things (IoT), Air Quality Monitoring, Arduino, ESP32, CO₂ Detection, Volatile Organic Compounds (VOC), Dust Sensor, Environmental Monitoring, Smart Systems, Embedded Systems, Real-Time Monitoring, Cloud Computing, ThingSpeak.

Abstract

Indoor air quality has a significant impact on human health, comfort, and productivity, especially in enclosed environments such as homes, offices, hospitals, and industrial spaces. The presence of pollutants like carbon dioxide (CO₂), volatile organic compounds (VOCs), and particulate matter (dust) can lead to respiratory diseases, allergies, and long-term health complications.

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Published

01.05.2026

How to Cite

IOT-BASED INDOOR ENVIRONMENTAL AIR QUALITY MONITORING SYSTEM (CO2,VOC,DUST) USING ARUDINO . (2026). International Journal of Information and Electronics Engineering, 16(2), 169-177. https://doi.org/10.48047/wyhfna48