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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: SpotTheLitter - Garbage Detection and Alert System
Authors Name: Gurprasad Singh
Unique Id: IJSDR2101026
Published In: Volume 6 Issue 1, January-2021
Abstract: In recent times, the rapid industrial and economical development has led to the destruction and pollution of the environment, especially for developing countries. As per recent metrics, India produces 277.1 tonnes of garbage every year. In this case, real-time garbage detection is important for environmental pollution monitoring. This project proposes an automatic garbage detection and alert system based on deep learning and computer vision. Maintaining a clean, urban and hygienic environment is an essential but a nearly impossible task, especially in developing countries. With the aim of engaging citizens to track and report on their neighbourhoods, I have developed an AI-based project ie SpotTheLitter. It functions a real-time detection of open garbage or trash on roads and in case of any trash or garbage detected, it sends the captured images of the garbage with the surrounding area for more accuracy in finding the exact location, and also the location name along with accurate location coordinates to the Municipal corporation so that, they can track the open garbage as soon as possible and get it cleared thereby reducing the environmental pollution.
Keywords: Garbage, Garbage Detection, Tash, CNN, Hygienic environment, Clean environment.
Cite Article: "SpotTheLitter - Garbage Detection and Alert System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 1, page no.179 - 181, January-2021, Available :http://www.ijsdr.org/papers/IJSDR2101026.pdf
Downloads: 000337073
Publication Details: Published Paper ID: IJSDR2101026
Registration ID:192859
Published In: Volume 6 Issue 1, January-2021
DOI (Digital Object Identifier):
Page No: 179 - 181
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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