A Smart Recycling Bin for Waste Classification
Dimitris Ziouzios, Minas Dasygenis · 2019
As there is an obvious and increasing need to preserve valuable resources and reduce waste and pollution, several researches are focusing into this area. However, the solutions provided are neither budget-friendly nor effective to be practical in a real-world application. In this paper, we present a Smart Recycling Bin using modern approaches for waste classification. The design of the system permits the low-cost manufacturing of the final product, while uses state of the art technologies such as neural networks and the LoRaWAN protocol. We implemented a low-cost Smart Bin prototype able to classify different types of waste with an accuracy of 92.1%. The system also remotely transmits valuable data to the corresponding authorities, which can increase their effectiveness in waste management.