DETECTION AND CLASSIFICATION OF WASTE FOR SEGREGATION AND EFFICIENT RECYCLING BASED ON MACHINE LEARNING

Abstract

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.