지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 64 - 71 (8page)
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초록· 키워드
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As the use of disposable plastic products increases rapidly around the world, environmental problems caused by disposable plastic waste are becoming serious. Accordingly, plastic recycling is further emphasized. Unmanned devices that can conveniently collect recyclable wastes are being operated in public buildings and apartments. Such unmanned recyclable waste collection devices can automatically identify recyclable wastes according to collection criteria and then proceed with the collection. In this study, a transparent plastic bottle and beverage can-sorting algorithm was developed and applied to an unmanned collection device for recyclable wastes. A heterogeneous sensor was used to determine whether the metal material was present and whether it was empty. Based on vision technology, a technique for recognizing various foreign substances such as trademarks, caps, and straws was developed to improve the accuracy of collecting and discharging recyclable wastes by more than 99 %.
목차
Abstract
1. 서론
2. 관련 연구
3. 재활용품 식별 기술
4. 영상기반 재활용품 식별 개발
5. 재활용품 식별 결과
6. 결론
References
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