Abstract
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.
Cite
CITATION STYLE
Tagdiwala*, V. … Shrivastava, K. (2020). Air Quality Measurement using Computer Vision and CCTV Footage of Road Traffic. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 4177–4181. https://doi.org/10.35940/ijrte.f9454.038620
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