New Waste Beverage Cans Identification Method
Autor: | Firmansyah Burlian, Yulia Resti, Ihsan Budiman |
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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 |
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