Efficient Garbage Management System Using Machine Learning
DOI:
https://doi.org/10.5281/zenodo.6026635Keywords:
Biodegradable waste, Non-Biodegradable waste, Arduino Uno, USB Camera, Garbage Segregator, Conveyor beltAbstract
Garbage management is essential in today’s society. Due to the increase in population, the waste generation is getting doubled day by day. Therefore, it is imperative that we examine the process of garbage collection, segregation, and automation for better management of the garbage materials. This project provides a solution that can detect, identify and segregate waste objects into Bio-Degradable and Non-Biodegradable garbage classification. This work is an integration of machine learning concepts using. Numbers of ways have been proposed to solve this challenge; a new concept uses a conveyor belt and a camera module that can sort garbage objects at the initial stage of segregation. The segregating module is DC geared motors sorts these garbage objects into two different categories, namely Bio-Degradable and Non-Biodegradable garbage. Our main aim is to segregate the collected garbage objects into two categories of bio-degradable wastes and non-biodegradable wastes. So, when the unwanted garbage is discarded in two different dustbins at the source itself which in turn allows effective treatment and disposal. So, Efficient garbage management administration makes the garbage collection productive.
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