The Journal of the Convergence on Culture Technology (문화기술의 융합)

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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RecyMera: A Recycling Assistant System based on Object Recognition Technology

RecyMera : 사물 인식 기법에 기반한 재활용품 자동 분류 지원 시스템

  • 이선주 (서울여자대학교 수학과) ;
  • 정혜주 (서울여자대학교 소프트웨어융합학과) ;
  • 엄성용 (서울여자대학교 소프트웨어융합학과)
  • Received : 2021.08.05
  • Accepted : 2021.08.30
  • Published : 2021.11.30
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Abstract

With the recent increase in the use of disposable products, it is urgently necessary to reduce the use of disposable products and to increase the recycling rate as much as possible in order to prevent environmental damage. In this paper, we introduce , a smartphone application that provides recycling-related information and supports correct separation and discharge. This system automatically recognizes and automatically classifies the type of item, by applying an effective object recognition technique, when the camera points at the item to be discharged. It is more effective and convenient compared to other existing smartphone applications. This system is expected to contribute to environmental protection by increasing the recycling rate in daily life.

최근 일회용품의 사용 증가로 인한 환경 파괴를 방지하지 위해, 일회용품의 사용 축소와 더불어 재활용 비율을 최대한 높이는 노력이 절실하게 필요하다. 본 논문에서는 재활용 관련 정보 제공 및 올바른 분리배출을 지원하는 스마트폰용 애플리케이션 를 소개한다. 본 시스템은 효과적인 사물 인식 기법을 적용하여, 카메라를 배출할 물품에 비추면 즉시 해당 물품의 종류를 자동 인식 및 자동 분류하여 그 물품에 알맞은 분리배출 방법을 현장에서 즉시 제공한다는 점에서 기존의 분리배출 정보 애플리케이션에 비해 효과적이고 편리하다. 이 시스템이 널리 활용된다면, 일상 생활 속 재활용 비율 확대를 통한 환경보호에 기여할 수 있을 것으로 기대된다.

Keywords

Acknowledgement

본 논문은 2021학년도 서울여자대학교 교내 연구비의 지원을 받았음(2021-0071)

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