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A cloud based smart recycling bin for waste classification

Nikolaos Baras – Dimitris Ziouzios – Minas Dasygenis–Constantinos Tsanaktsidis 

University of Western Macedonia

ABSTRACT. Due to the Earth’s population rapid growth along with the modern lifestyle the urban waste constantly increases. People consume more and the products are designed to have shorter lifespans. Recycling is the only way to make a sustainable environment. The process of recycling requires the separation of waste materials, which is a time consuming procedure. However, most of the proposed research works found in literature are neither budget-friendly nor effective to be practical in real world applications. In this paper, we propose a solution: a low-cost and effective Smart Recycling Bin that utilizes the power of cloud to assist with waste classification. A centralized Information System (IS) collects measurements from smart bins that are deployed all around the city and classifies the waste of each bin using Artificial Intelligence and neural networks. Our implementation is capable of classifying different types of waste with an accuracy of 93.4% while keeping deployment cost and power consumption very low.

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