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Smart Waste Management System Using Machine Learning

EasyChair Preprint no. 10314

9 pagesDate: May 31, 2023


 Large waste segregation has always been a major problem. It is done to classify the objects before they are processed as garbage. Waste segregation is typically done manually by labourers or workers. Many issues arise because of workers        becoming ill or contracting infections. This has an impact on the worker's life, performance, and total time taken. Manual waste segregation takes a significant amount of time and effort. To solve this problem, we can leverage deep learning algorithms and automate the process by finding an efficient waste segregation algorithm, which can be implemented easily in real time systems with appropriate accuracy. Industries have been transformed by artificial intelligence.

Keyphrases: CNN, deep learning, Waste classification, YOLO

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Shivam Shivam Sharma and Utkarsh Dwivedi and Veenu Singh},
  title = {Smart Waste Management System Using Machine Learning},
  howpublished = {EasyChair Preprint no. 10314},

  year = {EasyChair, 2023}}
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