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A Bottle Recognition and Classification Algorithm for Deposit Refund

병 인식 및 보증금 환불을 위한 분류 알고리즘

  • Received : 2017.06.01
  • Accepted : 2017.08.31
  • Published : 2017.09.30

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.

세계 각국에서 환경규제를 강화하고 생활 폐기물을 줄이기 위해서 노력하고 있다. 우리나라 역시 자원의 절약과 재활용촉진을 위한 법률을 제정하여 에너지자원순환을 위해 노력하고 있다. 정부에서는 빈병 재활용을 위하여 빈용기 보증금 제도를 시행하고 있지만 인력을 통한 회수는 한계가 존재하며, 빈병무인회수기 또한 국산화가 되어 있지 않은 관계로 시행 효과가 미비한 상황이다. 본 논문에서는 에너지자원순환을 촉진하기 위해서 빈병무인회수기에서 필수적으로 요구되는 병 인식 및 보증금 환불을 위한 병 분류 알고리즘을 제안하였다. 제안 알고리즘은 OpenCV와 CNN을 이용한 복합 식별 알고리즘으로서 제안 알고리즘의 효용성 평가를 위하여 빈병무인회수기에서 동작하는 분류 시스템을 구현하여 다양한 디바이스에서 빈병 정보 및 무인회수기에 대한 정보를 쉽게 획득할 수 있도록 하였다.

Keywords

References

  1. K. H. Park, I. H. Sung, D. K. Min, and J. G. Kim, "A Study on the active plans for the returnable glass bottles," Journal of the Korea Society of Environmental Administration, vol. 3, pp. 203-216, Feb. 1997.
  2. P. S. Jeong, and Y. H. Cho, "A bottle recycling information management system for the promotion of saving and recycling of resources due," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 11, pp. 2155-2161, Nov. 2016. https://doi.org/10.6109/jkiice.2016.20.11.2155
  3. K. C. Lim, "A study on development of evaluation indicators to collaborative energy saving projects with NGO," Journal of Energy Engineering, vol. 24, no. 3, pp. 142-149, Sep. 2015. https://doi.org/10.5855/ENERGY.2015.24.3.142
  4. J. H. Lee, and C. H. Kim, "Development and application of environmental convergency education prototype for resources recycling," Korea Science & Art Forum, vol. 22, pp. 275-286, Dec. 2015. https://doi.org/10.17548/ksaf.2015.12.22.275
  5. Ministry of Environment. Empty Bottle Refund Institution [Internet]. Available: https://www.me.go.kr/issue/reuse/.
  6. S. C. Lim, S. H. Kim, Y. H. Kim, and D. Y. Kim, "Training Network Design Based on Convolution Neural Network for Object Classification in few class problem," Journal of Korea Institute of Information and Communication Engineering, vol. 21, no. 1, pp. 144-150, Jan. 2017. https://doi.org/10.6109/jkiice.2017.21.1.144
  7. Y. G. Kim, and E. Y. Cha, "Streamlined GoogLeNet Algorithm Based on CNN for Korean Character Recognition," Journal of Korea Institute of Information and Communication Engineering, vol. 20, no. 9, pp. 1657-1665, Sept. 2016. https://doi.org/10.6109/jkiice.2016.20.9.1657
  8. Tensorflow - How to Retrain Inception's Final Layer for New Categories [Internet]. Available: https://www.tensorflow.org/tutorials/image_retraining.
  9. Keras Image Preprocessing - ImageDataGenerator [Internet]. Available: https://keras.io/preprocessing/image/.
  10. OpenCV - calcHist [Internet]. Available: http://docs.opencv.org/3.1.0/d1/db7/tutorial_py_histogram_begins.html/.