Open AccessGeo Tracking of Waste
Author(s) -
Sahil Pulikal
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37600
Subject(s) - garbage , unavailability , truck , computer science , artificial intelligence , municipal solid waste , tracking system , object (grammar) , tracking (education) , computer vision , waste management , engineering , automotive engineering , psychology , reliability engineering , programming language , pedagogy , kalman filter
Littering of waste causes a lot of negative impact on the environment as well as it affects the economy of the nation. Because of unavailability of a proper waste tracking and detection system, littered waste remains uncleaned. The traditional way of waste management includes regular waste collected by the groups assigned such as municipal corporation trucks. To overcome this problem, we develop a system where the admin can capture images using a mobile camera and using artificial intelligence, it processes those images and identifies the type of waste present in the image. It also maps the waste locations along with its images on a map. At the end, the admin notifies the nearest garbage collector to clean the waste. The system uses the concepts of image processing, deep learning and object detection. Keywords: Object Detection, Image Processing, Coordinates, Deep Learning, Mapping