• Nikita Soni Student, Computer, Universal College of Engineering, Mumbai, India-401212
  • Perin Shah Student, Computer, Universal College of Engineering, Mumbai, India-401212
  • Parth Rawal Student, Computer, Universal College of Engineering, Mumbai, India-401212
  • Prof. Sridhar Iyer Assistant Professor, Computer, Universal College of Engineering, Mumbai, India-401212


Internet of Things (IoT), Arduino UNO, Pollution Under Control (PUC), Trafficlog


The rapid growth in industrial plants creating environmental concerns like weather change, pollution has significantly influenced the need of an efficient, cheap, and smart monitoring systems. In this, we put onward a noise monitoring as well as air quality monitoring system that allows us to detect and quickly check air as well as sound quality. The sensors conjoin with microcontroller, which processes this records and transfers over internet. This lets authorities to observe air quality in different zones and take action contrary to it. In addition, authorities can keep an eye on the noise levels near universities, infirmaries and no hooting areas. Pollution under Control (PUC) deeds as a measure to handle pollution. Users need to register, notifications would be sent about expiry dates of PUC. Hence, the main aim of project is to develop an observation system for air pollution and sound pollution observing, warning, supervision and management.


[1] Palaghat Yaswanth Sai “An IoT based Automated Noise And Air pollution Monitoring System”,Volume 6,Issue 3-March 2017.

[2] Anjaiah Guthi “Implementation of an Efficient Noise and Air Pollution Monitoring System Using Internet of Things (IoT)”,Volume 5,Issue7, July 2016.

[3] L.Ezhilarasi, K.Sripriya, A .Suganya , K.Vinodhini, “A System for monitoring Air and Sound Pollution using Arduino Controller with IoT technology”,Volume 3,Issue2,March 2017.

[4] Arushi Singh, Divya Pathak, Prachi Pandit , Shruti Patil , Prof. Priti . C. Golar “IOT based Air and Sound Pollution Monitoring System”,Volume 6 ,Issue 3, March 2017.

[5] Navreetinder Kaur, Rita Mahajan, Deepak Bagai ,“Air Quality Monitoring System based on Arduino Microcontroller”, Volume 5, Issue 6, June 2016.

[6] Uppugunduru Anil Kumar , G Keerthi , G sumalatha , M. Sushma Reddy, “IOT based noise and air pollution monitoring system using Rasberry Pi”,Volume 5,Issue3,March 2017.

Additional Files



How to Cite

Nikita Soni, Perin Shah, Parth Rawal, & Prof. Sridhar Iyer. (2018). SMART POLLUTION MONITORING SYSTEM. International Education and Research Journal (IERJ), 4(3). Retrieved from