Open AccessAir Quality Measurement using Computer Vision and CCTV Footage of Road Traffic
Author(s) -
Viral Tagdiwala*,
Muhammad Umair Siddiqui,
Juhi Shah,
Maithili Bhuta,
K.B.L. Shrivastava
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9454.038620
Subject(s) - air quality index , software deployment , air pollution , transport engineering , index (typography) , government (linguistics) , computer science , data collection , pollution , quality (philosophy) , environmental science , meteorology , geography , engineering , statistics , ecology , linguistics , chemistry , philosophy , mathematics , organic chemistry , epistemology , world wide web , biology , operating system
Air Quality is at a steady state of decline throughout the world. While the Indian government, in particular, has been deploying monitoring stations across multiple cities to not only monitor but also establish a cause and effect relationship when it comes to air pollution, these monitoring stations clearly, don’t suffice the actual demands for building a robust model for Air Quality Index. Our goal here is to reduce costs in terms of hardware deployment while, at the same time, provide a higher number of data points of collection on pre-existing infrastructure. The project aims at calculating the air pollution factors at the suburban level using Vehicular Emissions. The idea is to identify the number and type of vehicles from a video feed and then estimate the vehicular pollution levels using the data collected.