New Waste Beverage Cans Identification Method

Burlian, Firmansyah and Resti, Yulia (2014) New Waste Beverage Cans Identification Method. International Journal on Smart Material and Mechatronics, 1 (1). pp. 38-41. ISSN 9772356-531002

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Abstract

The primary emphasis of this work is on the dcvdopment of :1. new waste bC\backslash?erage cans ideutification method for automated bC\backslash?erage cans sorting S}'!tcms known as the SVS system. The method described involved " ?iodow-based subdivision of tbe image into X -cells, construction of X -candidate t~mplate for N-eeDs, talculation of matching scores of reference templates for the N-ttlls image, and application of matchin.gs.:ore to identit:v the grade of the object The SVS system performance for correct beverage cans grade identification is 95.17% with estimated throughput of ll ,600 objects per hour with a conveyor belt width of 18-. The weight of the throughput depends on the size and type of tbc objects.

Item Type: Article
Subjects: T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General)
T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
Divisions: Faculty of Engineering > 21201-Mechanical Engineering (S1)
Depositing User: firmansyah firman burlian
Date Deposited: 12 Dec 2019 02:21
Last Modified: 12 Dec 2019 02:21
URI: http://repository.unsri.ac.id/id/eprint/21417

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