This document proposes a solution to monitor and analyze real-time emission data from multiple vehicles to address the problem of air pollution from motor vehicle emissions in Sri Lanka. The existing systems for monitoring emissions are expensive, complex to use, and do not provide real-time or accessible data. The proposed solution involves designing a mobile application that uses sensors to gather emission statistics from vehicles via Bluetooth and provide users with frequent, accurate pollution level readings to help reduce vehicle air pollution.

2. Problem

3. Specification
 Air pollution has become a major problem in Sri Lanka.
 Motor vehicle emission is a significant source of air pollution
affecting both animals and the environment.
So living beings have to face illnesses.

4. Identification
 No system in the world today that can automatically
monitor, record, query and analyze real time emission data
from multiple vehicles.

5. Solution

6. Feasibility
 Available system is expensive.
 It is very complex and difficult to handle.
 We are fail to know about the pollution level by this
method.
 Not reachable.
 Can’t check the vehicle condition day by day

7. Literature Review
Air
Pollution
• What is Air Pollution?
• Air pollution caused by vehicles
• How does it affect?
Data
mining
• Right approach for this project
Data
Transmission
• Using Wi-Fi in vehicle
• Using 3G/4G in vehicles
Power
Supply
• Power handling-Overall
• Linear vs Switch mode power regulators
Hardware
• Real time embedded systems

8. Proposed Solution
“To design and develop an application which can gather
emission statistics from motor vehicles and produce a solution
to reduce air pollution caused by motor vehicles.”

9. Hardware
-Arduino UNO
-MQ 7 sensor
-MQ 2 sensor
-MQ 135 sensor
Data Transmission
-Bluetooth device
Technology
-Mobile App

10. Aim and Objectives
 Aim :
A frequent, accurate, detailed & user friendly emission
testing mechanism is needed
 Objectives :
- To show the pollution level
- Usable at any time
- One user – multiple vehicles

11. Methodology

12. Interfaces

13. Gantt Chart