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College Students Develop App to Measure Air Pollution in Delhi

delhi air pollution | air pollution in delhi

Three undergraduate students of Bharti Vidyapeeth college of engineering, Delhi have developed an Android app to measure the alarming air pollution in Delhi NCR (National Capital Region), they are yet awarded by the US-based Marconi Society. They jointly won the cash prize of $1500 last week in a contest, organized in India.

The California-headquartered Marconi Society promotes awareness of key technolgy and policy issues in telecom and internet.

The application using the Smartphone camera images to measure the Air Quality Index in the NCR. Delhi has been in the grip of toxic air from a week due to thick smoke from the burning of stubble in the farmlands of Haryana and Punjab.

Tanmay Srivastava, Kanishk Jeet and Perana Khanna who jointly worked on the application called Air Cognizer , a portable, real-time air quality analytics app. The app is available at Google Play Store to download freely by anyone. Any Smartphone user can use this app to measure the air quality in his / her area.

The user has to upload an image taken outdoor with half of the image covering the sky region, then with the image processing techniques and machine Learning model the app estimates the Air Quality Index in that area.

Apart from the App, there was a project of a website designed by Divyam Madaan and Radhika Dua from Chandigarh-based university institute of Engineering and Technology (UIET) which won the second prize in that series. The website can forecast the levels of air pollution in Delhi over the next 24 hours.

The website is using Google Cloud platform and Machine Learning engine which can predicts the major pollutant causes in every location (e.g. vehicles, industry emissions or agricultural wastage) based on historical data.

The third position was acquired by the team of Sidharth Talia, Nikunj Agarwal and Samarjeet Kaur, who prototyped a digital platform to transmit vehicle-to-vehicle alerts about potential road safety hazards. The project using Raspberry Pi and Xbee radio modules with computer vision technique.

The program was started in India in partnership with the Indian Institute of Technology, Delhi. Three teams from 100 applicants were selected to work during the summer IIT-Delhi on problems related to air pollution and road safety.

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