Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/521
Title: Intelligent Waste Sorting System
Authors: ROSCA, Neonil 
LUNGU, Iulian 
SUDACEVSCHI, Viorica 
ABABII, Victor 
Issue Date: 2020
Conference: EUROINVENT 2020
Abstract: 
The project is in the field of ecology and environmental protection, in particular it concerns to the methods and technologies for industrial and managerial waste sorting. The project represents a compact and autonomous system for managerial and industrial waste sorting based on waste physical properties. The scientific concept of the applied method is based on Artificial Intelligence models with selflearning properties. The technological concept is based on the automatic movement of the waste on a conveyor, the analysis of physical properties and waste sorting in ferrous and non-ferrous metals, plastic, glass and paper.
For the realization of the project, the mathematical model was proposed and intelligent algorithms were developed for waste sorting, implemented in a functional prototype.
URI: http://cris.utm.md/handle/5014/521
Appears in Collections:01-Gold Medals

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