Healthy Skies

Annually about 4.2 million people lost their life?s as a result of exposure to outdoor pollution. Pakistan AQI is getting worse day by day. Every 9 out of 10 people breathe highly dangerous polluted air. One of the key factors in combating this is to know the AQI of every area and then take precauti

Project Title

Healthy Skies

Project Area of Specialization

Artificial Intelligence

Project Summary

Annually about 4.2 million people lost their life’s as a result of exposure to outdoor pollution. Pakistan AQI is getting worse day by day. Every 9 out of 10 people breathe highly dangerous polluted air. One of the key factors in combating this is to know the AQI of every area and then take precautionary measures accordingly. But unfortunately, the present solutions to this are very expensive and not reliable. This is where our solution comes in. We will develop an application that uses a deep learning model which enables everyone to know the AQI of any area with a smartphone picture. And secondly, another amazing feature of this project is that it will also provide a solution to one of the root causes of air pollution which is the transport sector. Most people think that smoke from vehicles is the main cause of air pollution but according to the latest research, it is proven that tyre wear, which occurred as a result of tyres misalignment, is the major and 1000 times more harmful factor of air pollution than smoke and this phenomena also effects cars fuel performance. So this project will consist of a IoT hardware device that will be attached to the vehicle’s tyre and it will automatically notify the user whenever the tyre will be misaligned.

Project Objectives

There are two main objectives of this project:

1. To enable the users to know the AQI(Air Quality Index) of any area with the help of a picture clicked through any smartphone, so that they can take precationary measures accordingly.
2. To facilitate the car holders by giving them mobile notification whenever their car's tyres are misaligned. This will help them in reducing the air pollution as well as in increasing their car performance.

Project Implementation Method

To achieve the desired objectives of the project the following will be the major steps: 

Step 1: Data Gathering and Labeling 

Initially, image data of normal AQI places as well as moderate and severe AQI places will be collected. Secondly the AQI levels will be also gathered of the respectice places. After that dataset will be labeled with AQI values and AQI condition. 

Step 2: Convolutional neural network (CNN) Training Convolutional neural network (CNN) is trained for AQI detection and to decide either given image has normal AQI or high AQI. Moreover it will also give the AQI values of the given picture. For network training, the Python programming language is used along with tensorflow API. The dataset contains pictures of different places along with their respective AQI values for network training and testing. As CNN training is a computationally intensive task, so in order to train it, Graphical Processing Unit (GPU) will be used 

Step 3: Develop IoT Hardware

An IoT device will be made using different sensors for detecting the misalignment of cars wheel. Sensors like MPU6050 Sensor, ESP32 microcontroller and Arduino IDE will be used for this purpose.

Step 4: Application Development 

An mobile application will be built which contains following two modules:

• First feature will take an image of area/environment as input and feed it to the trained CNN model that will identify the AQI level and AQI value of area in the image.
• Second feature will notify the user whenever the car tyres will be misaligned based on the values received by IoT device attached by cars tyre.

Benefits of the Project

The following will be the advantages of our project :

1. Help the user to know the AQI of any area.
2. Help the user to take precautionary measures in advance by knowing the AQI.
3. Reduce the cost of hardware/equipment for knowing AQI.
4. Help the government by providing them with the data obtained through this project so that they can take the required steps for controlling AQI in the respective areas. 
5. Help the user to know about the misalignment of their cars tyres through mobile notification.
6. Reduce the air pollution caused by tyre misalignment.
7. Improve the car fuel performance which is reduced as a result of misaligned tyres

Technical Details of Final Deliverable

The final deliverable will be the mobile application that detects and measure the AQI of an area through image and the application will also be integrated with an IoT device that detects the misalignment of car tyres and notify the user on phone.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

IT , Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure, Life Below Water

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com