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http://dx.doi.org/10.6109/jkiice.2017.21.9.1744

A Bottle Recognition and Classification Algorithm for Deposit Refund  

Jeong, Pil-seong (JNPSOLUTION)
Cho, Yang-Hyun (Division of Computer Science, Sahmyook University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.9, 2017 , pp. 1744-1751 More about this Journal
Abstract
We are striving to strengthen environmental regulations and reduce household waste in all countries around the world. Korea is also striving for the circulation of energy resources by enacting laws to promote resource saving and recycling. The government has implemented an empty bottle deposit system for the recycling of empty bottles, but there is a limit to the collection through manpower and the reverse vending machine is not localized. In this paper, we propose a recyclable bottle recognition and classification algorithm which is essential in the reverser vending machine to promote energy resource circulation. The proposed algorithm is a complex identification algorithm using OpenCV and CNN(Convolution Neural Network). In order to evaluate the effectiveness of the proposed algorithm, we implement a classification system that operates in an reverse vending machine, so that it can easily acquire information about bottles and reverse vending machine in various devices.
Keywords
Deep Learning; Machine Learning; Recycling; Bottle Recycling; Reverse Vending Machine; Recycling of Resources Due;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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