Waste Classification
Digambar Patil, Ashutosh Rathi, S.S. Banait, Rutuja Ugale, Sakshi Bhutkar
Classification, Machine Learning, Object Detection, Segregation of waste.
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

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

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

Social Media

Google Verified Reviews