Waste management is a prevalent problem in the world today and is increasing with the
rise of urbanization. For ecologically sustainable development, waste management is an important
necessity in many countries. In developed countries such as India, improving management needs are
generally recognised by officials. However, no attempt has been made to strengthen the condition and
to make long-term improvements. We know that India's population is equal to 19.6 percent of the
world's population. With the growth of intelligent cities in India, a smart waste management system is
important. Since the volume of waste generated on a regular basis continues to increase. As the waste
produced exceeds 2,5 billion tonnes, the best solution to dealing with this issue is important. The
waste must be sorted in a basic manner so that it is possible for the landfill sites to ensure that waste
is disposed of properly. Sorting waste necessitates the recruiting of new workers as well as additional
time. Waste can be sorted and handled using a number of methods. The study and evaluation of waste
using image processing may be a highly efficient tool in the waste management process. The
conventional techniques of waste management are discussed in these articles. These often describe
the pitfalls and means of solving the current structures. The paper also introduces a device
specification for the removal of human work and advocates automated waste isolation.
Key words: Separation of waste, Waste Classification, Machine Learning, Image processing,
Convolutional Neural Networks, Support Vector Machine
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