From Detection to Collection: Intelligent Garbage Cleaning Vessel Technologies

Zhiyu Liu

doi:10.54097/94t63030

Authors

Zhiyu Liu

DOI:

https://doi.org/10.54097/94t63030

Keywords:

Garbage cleaning vessel, garbage detection, sensor, intelligent classification.

Abstract

This paper focuses on offering a detailed overview of the main technologies and the latest developmental state of the intelligent garbage cleaning vessels due to the increased acuity of the pollution of water surface. The old manual salvage technique is also marked by a low efficiency level and a narrow exposure and thus cannot be used to address the large scale cleaning needs. Conversely, smart garbage-cleaning boats that play on their merits of extreme efficiency, automation, and accuracy are becoming popular as a necessary element of water surface environmental protection. This paper features a systematic review that focuses on the two cornerstones of the workflow, which are garbage collection and garbage detection. It studies the nature and use of sensor technologies in the field of garbage detection: of traditional physical feedback mechanisms, methods of vision detection using image recognition and deep learning, and data fusion based on the use of multiple sensors. In reference to the area of garbage collection, it explores mainstream methods like meticulous grasping through the use of robotic arms and centralized aspects through mesh bags as well as intelligent methods of garbage classification. Last but not the least, the article provides the present stage of development of intelligent garbage cleaning boats, the existing challenges and forecast of the further technological trends as well, which makes the articles a good source of references to the related research and practice.

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