The document presents an IoT-based system for monitoring air and sound pollution, highlighting the increasing urgency to measure and control environmental contaminants. It outlines the project details, including components used, problem statements, challenges faced, and future enhancements like detecting poisonous gases. The proposed device aims to engage both municipal authorities and the public in maintaining a safer environment.

1. IOT based Air and
Sound Pollution
Monitoring System
Aamir Habeeb (18070123002)
Abhinav Rajput (18070123005)
Avinash Bhaskar Jha (18070123022)

2. Agenda
● Overview
● Need of the project
● Problem Statement
● Block Diagram of project
● Component Selections
● BoM
● Schematic
● Layout Description
● Simulation Results
● Enclosure
● Problem Faced
● Changes in the original project idea
● Future Scope

3. Overview
Sound and air pollution are a prominent subject that in
our country continues to be highlighted every year.The
Air Quality Index(AQI) in certain sections of the nation
exceeds 500 and in traffic soundsexceeds 100 dB. Air
quality and sound amplitude must be monitored for a
better and safer life for everybody.
We present here a method for air pollution monitoring
and sound pollution control that enablesus to monitor
live air Pollution and sound contamination by IOT in a
region.

4. Need of Project
Accomplishment 1
● The air and sound pollution is
increasing abruptly.
● To maintain its purity it’s
monitoring is essential.
Accomplishment 2
● This project analyzes a product
used for the monitoring of air
and sound pollution.
● This system allows us to detect
sound and air pollution levels
over and over, based on IoT.

5. Problem Statement
Accomplishment 1
The Air and sound pollution is a growing issue these days. As an
engineer what is low-cost and effective ways to measure this
pollution and encourage community to take certain steps to reduce it
to reasonable limit ?
Accomplishment 2

6. Block Diagram

7. Component Selections
● Arduino Uno - It is a microcontroller.
It is based on ATmega328P.
● MQ135 Gas Sensor - MQ135 gas
sensor is SnO2, which has lower
conductivity in clean air. Sulfide and
Benze steam, also sensitive to smoke
and other harmful gases.
● ESP8266 Wifi Module - ESP8266 is
an low-cost Wifi module that enables
an existing microcontroller project to
be supplied with Wi-Fi capability.
● Sound Sensor - Microphone sound
sensor that measures high deciBel
sounds.
● LCD Display

8. Bill Of Material
S. No. Component Used Price (Rs.)
1. Arduino Uno 350
2. Sound sensor 150
3. Air pollution sensor 112
4. Wifi Module 270
5. LCD Display 200
6. Adapter- USB power supply 100
7. Total 1182

9. Schematics
Assignment 1

10. Layouts
3D PCB layout Bottom Layer of PCB

11. Simulation Result
Safe Case

12. Simulation Result
Danger Case

13. Enclosure

14. Problems Faced
● Unavailability of sensors on different softwares.
● Problems faced while making the simulation circuit.
● Unavailability of wifi module on proteus,EasyEDA, Eagle and Tinkercad.
● Learning PCB designing through videos rather than hands-on
experience.
● Due to Covid-19 restrictions not able to gather hardwares.
● Since whole project is completed virtually, so not able to give our best
effort.
● Learning things digitally did not have the same impact as physical
classes.

15. Future Scope
● This IOT based air and sound pollution monitoring device is a great step towards a
healthy livelihood. With the help of this device not only the municipal authorities but
even the common people can participate in the process of controlling pollution and
ensure safe environment.
● We will work on displaying the amount of poisonous gases detected by sensor.
● Since with time the upgrade in sensor will take place such as range of detection.So we
will we
● The device itself is very eco-friendly and does not harm the environment in any way.
Moreover, it is based on one of the modern technology and also inexpensive as
compared to other technologies developed so far and can be installed anywhere.

16. THANK YOU