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

Authors

  • Ahmed M Department of Computer Engineering, M.H.Saboo Siddik College Of Engineering, Mumbai, Indi
  • Usmani N Department of Computer Engineering, M.H.Saboo Siddik College Of Engineering, Mumbai, India
  • Khan J Department of Computer Engineering, M.H.Saboo Siddik College Of Engineering, Mumbai, Indi
  • Khan S Department of Computer Engineering, M.H.Saboo Siddik College Of Engineering, Mumbai, India
  • Shaikh I Department of Computer Engineering, M.H.Saboo Siddik College Of Engineering, Mumbai, Indi

DOI:

https://doi.org/10.26438/ijcse/v7i2.852855

Keywords:

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

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.

References

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Published

2019-02-28
CITATION
DOI: 10.26438/ijcse/v7i2.852855
Published: 2019-02-28

How to Cite

[1]
M. Ahmed, N. Usmani, J. Khan, S. Khan, and I. Shaikh, “Garbage Profiling – A Proposed System to rank localities based on waste segregation”, Int. J. Comp. Sci. Eng., vol. 7, no. 2, pp. 852–855, Feb. 2019.

Issue

Vol. 7 No. 2 (2019): IJCSE February Edition

Section

Research Article

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