Waste Classification

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Waste Classification
Author(s):
Digambar Patil, Ashutosh Rathi, S.S. Banait, Rutuja Ugale, Sakshi Bhutkar
Keywords:
Classification, Machine Learning, Object Detection, Segregation of waste.
Abstract
A large amount of solid waste is generated in urban areas with a variety of types like plastic, garden waste, paper, glass, etc. For efficient waste management it is necessary to treat different types of waste in a different manner. In order to achieve this, waste must be separated into various categories. Thus, the concept of segregating wet and dry waste has been introduced by the government. By following the guidelines given by the government, a huge amount of budget for waste segregation is saved and can be used for further waste management. Keeping all of this in mind, the proposed system aims to classify wet and dry waste based on the captured image of the waste. The captured image of waste is passed through the system to classify the type of waste. This can help us get data relating to a variety of waste types. Furthermore, it can help analyze the waste disposal habits of people at different locations, which can help create awareness in places where improvement is required.
Article Details
Unique Paper ID: 155240 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 325 - 329
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org