Design and Application of a Belt-Type Water Surface Garbage Collection Device Based on Machine Vision

This paper investigates a novel belt-type water surface garbage collector, designed to enhance the intelligence and efficiency of garbage collection systems. To address the mechanical structure and control system of the water surface garbage collector, we propose a comprehensive solution based on machine vision technology, integrating autonomous control and a conveyor belt mechanism. Initially, the paper reviews the current state of research and development trends in belt-type water surface garbage collectors, analyzing the advantages, limitations, and challenges of existing technologies. Subsequently, we detail the design and implementation of an efficient machine vision system, including mechanical structure design, automatic control systems, and system integration and testing. In the implementation process, machine vision technology is employed to enable the collector to identify and quickly locate garbage in complex water surface environments. The experimental results indicate that the belt-type water surface garbage collector, integrated with a machine vision system, significantly improves the accuracy of garbage detection and classification, completing autonomous cleaning tasks without human intervention. The findings of this study offer new technological pathways and methods for enhancing the intelligence and automation of belt-type water surface garbage collectors, laying a foundation for the future development of water surface garbage cleaning technologies.

Authors

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3711129.3711369
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Design and Application of a Belt-Type Water Surface Garbage Collection Device Based on Machine Vision

Lin Zhao, Danping Chen, Han Zhou
1 citations
Advanced Manufacturing and Logistics Optimization
0.35
article

Design and Application of a Belt-Type Water Surface Garbage Collection Device Based on Machine Vision

Lin Zhao, Danping Chen, Han Zhou
article en
1 citations

Abstract

This paper investigates a novel belt-type water surface garbage collector, designed to enhance the intelligence and efficiency of garbage collection systems. To address the mechanical structure and control system of the water surface garbage collector, we propose a comprehensive solution based on machine vision technology, integrating autonomous control and a conveyor belt mechanism. Initially, the paper reviews the current state of research and development trends in belt-type water surface garbage collectors, analyzing the advantages, limitations, and challenges of existing technologies. Subsequently, we detail the design and implementation of an efficient machine vision system, including mechanical structure design, automatic control systems, and system integration and testing. In the implementation process, machine vision technology is employed to enable the collector to identify and quickly locate garbage in complex water surface environments. The experimental results indicate that the belt-type water surface garbage collector, integrated with a machine vision system, significantly improves the accuracy of garbage detection and classification, completing autonomous cleaning tasks without human intervention. The findings of this study offer new technological pathways and methods for enhancing the intelligence and automation of belt-type water surface garbage collectors, laying a foundation for the future development of water surface garbage cleaning technologies.

Openalex Percentile: Top 31%
Advanced Manufacturing and Logistics Optimization
0.35
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