Gabriele Rodovero
Design of a system for the detection and monitoring of falling waste.
Rel. Marcello Chiaberge. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (36MB) | Preview |
Abstract
Nowadays, waste management is inefficient because of the inadequacy of the waste differentiation and recycling process. This issue causes an increase in costs in economic and especially in environmental terms. Indeed, since it is more economically convenient to produce new objects by using raw materials instead of recycled ones, the waste continues to increase, and so do the polluting emissions of carbon dioxide. This thesis work has been carried out in collaboration with ReLearn, an innovative Italian startup whose mission is to optimize the waste treatment process and consider waste no longer a problem but a resource. To simplify recycling and improve waste management, they have developed a smart bin called Nando that is able to automatically differentiate all the waste inserted inside it.
By using robotics and artificial intelligence, Nando recognizes the material of which the waste is composed and then sorts it into the correct bin
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
