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Garbage Profiling – A Proposed System to rank localities based on waste segregation

Mohammed Ahmed1 , Nurulhaque Usmani2 , Javed Khan3 , Shahnawaz Khan4 , Imran Shaikh5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 852-855, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.852855

Online published on Feb 28, 2019

Copyright © Mohammed Ahmed, Nurulhaque Usmani, Javed Khan, Shahnawaz Khan, Imran Shaikh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mohammed Ahmed, Nurulhaque Usmani, Javed Khan, Shahnawaz Khan, Imran Shaikh, “Garbage Profiling – A Proposed System to rank localities based on waste segregation,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.852-855, 2019.

MLA Style Citation: Mohammed Ahmed, Nurulhaque Usmani, Javed Khan, Shahnawaz Khan, Imran Shaikh "Garbage Profiling – A Proposed System to rank localities based on waste segregation." International Journal of Computer Sciences and Engineering 7.2 (2019): 852-855.

APA Style Citation: Mohammed Ahmed, Nurulhaque Usmani, Javed Khan, Shahnawaz Khan, Imran Shaikh, (2019). Garbage Profiling – A Proposed System to rank localities based on waste segregation. International Journal of Computer Sciences and Engineering, 7(2), 852-855.

BibTex Style Citation:
@article{Ahmed_2019,
author = {Mohammed Ahmed, Nurulhaque Usmani, Javed Khan, Shahnawaz Khan, Imran Shaikh},
title = {Garbage Profiling – A Proposed System to rank localities based on waste segregation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {852-855},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3757},
doi = {https://doi.org/10.26438/ijcse/v7i2.852855}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.852855}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3757
TI - Garbage Profiling – A Proposed System to rank localities based on waste segregation
T2 - International Journal of Computer Sciences and Engineering
AU - Mohammed Ahmed, Nurulhaque Usmani, Javed Khan, Shahnawaz Khan, Imran Shaikh
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 852-855
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

To increase garbage processing and recycling, the Government implemented a Solid Waste Management Rule but it is not followed by some societies properly. And despite plastic ban plastic is used by some societies. To overcome above issues an app will be developed which take the image of garbage at garbage point and send it to the server for computation. In python, we incorporate the Machine Learning Module. Then by using convolutional a neural network technique, it will identify the garbage whether it is properly segregated or not and also how much amount of plastic is there in the garbage. Based on results we various communities will be rated. and notification will be sent to those communities who do not segregate their waste properly.

Key-Words / Index Term

Garbage Processing; Waste segregation; machine learning; convolutional neural network

References

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