New Waste Beverage Cans Identification Method

Autor: Firmansyah Burlian, Yulia Resti, Ihsan Budiman
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: International Journal on Smart Material and Mechatronics, Vol 1, Iss 1, Pp 41-48 (2016)
Druh dokumentu: article
ISSN: 2356-5314
2460-075X
Popis: The primary emphasis of this work is on the development of a new waste beverage cans identification method for automated beverage cans sorting systems known as the SVS system. The method described involved window-based subdivision of the image into X-cells, construction of X-candidate template for N-cells, calculation of matching scores of reference templates for the N-cells image, and application of matching score to identify the grade of the object. The SVS system performance for correct beverage cans grade identification is 95.17% with estimated throughput of 21,600 objects per hour with a conveyor belt width of 18˝. The weight of the throughput depends on the size and type of the objects.
Databáze: Directory of Open Access Journals