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Performance of Cans Classification System for Different Conveyor Belt Speed using Naïve Bayes
2020
Science and Technology Indonesia
The classification system in the sorting process in the can recycling industry can be made based on digital images by exploring the basic color pixel values of images such as R, G, and B as variable inputs. In real time, the classification of cans in the sorting process occurs when cans placed on a conveyor belt move at a certain speed. This paper discusses the performance of can classification systems using the Naïve Bayes method. This method can handle all types of variables, including when
doi:10.26554/sti.2020.5.4.111-116
fatcat:4bmfc4zbkbdavfzepstviiw3xi