Waste Classification and Segregation: Machine Learning and IOT Approach (original) (raw)

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)

Abstract

In this paper, we have proposed a fully automated waste management system to implement waste segregation. The method adopted is computer vision and deep learning paired with an internet of thing (IOT) system that is capable of segregating municipal waste into Organic and Recyclable waste. Eliminating manual segregation in the process of waste management significantly reduces the risk to the health of municipal workers by preventing the contraction as well as the spread of transmissible diseases. Automation will also increase the speed while significantly reducing the cost of the waste segregation process. This study was conducted in order to ideate and bring to life innovative and sustainable ideas for effective waste management systems with little to no human intervention.

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