%0 Journal Article
%T 基于计算机视觉的垃圾识别分拣系统
Garbage Recognition and Sorting System Based on Computer Vision
%A 苏洇如
%A 尚泳龙
%A 陈心卉
%A 吕晓丹
%A 杨喻晴
%J Computer Science and Application
%P 1321-1332
%@ 2161-881X
%D 2023
%I Hans Publishing
%R 10.12677/CSA.2023.136130
%X 在垃圾分类政策逐步推广的背景下，以智能科技为支撑，垃圾分类过程中的辅助性人工智能产品大量涌现。本文梳理了国内外的垃圾分类现状，其中包括当前国家全面推行生活垃圾分类政策、垃圾分类在收集环节的技术局限和对垃圾清运处理环节的研发投入少等问题。通过对国内外相关文献总结分析，面向绿色环保设计了基于计算机视觉的垃圾识别分拣系统，分析了人工智能在垃圾分类领域的应用，构建了采用OpenCV实现背景差分算法和采用YOLOv3算法的计算机视觉分类技术方案。系统能够有效提高垃圾清运的时间和路径，减轻人工垃圾清除回收的工作量，减少垃圾清运的人工成本，为智能垃圾回收分类提供强大的助力。
In the context of the gradual promotion of waste separation policies, a large number of auxiliary artificial intelligence products for the waste separation process have emerged, supported by intelligent technology. This paper compares the current situation of waste classification at home and abroad, and addresses the current problems of comprehensive national policy on domestic waste classification, the technical limitations of waste classification in the collection process and the low investment in the research and development of waste removal and treatment. By summarising and analysing the relevant literature at home and abroad, a computer vision-based waste recognition and sorting system is designed for green environmental protection, and the application of artificial intelligence in the field of waste classification is analysed, and a computer vision sorting technology solution using OpenCV to implement the background difference algorithm and the YOLOv3 algo-rithm is constructed. The system can effectively improve the time and path of waste removal, re-duce the workload of manual waste removal and recycling, reduce the labour cost of waste removal, and provide a powerful aid to intelligent waste recycling and classification.
%K 计算机视觉，人工智能，垃圾分类，环境保护
Computer Vision
%K Artificial Intelligence
%K Waste Separation
%K Environmental Protection
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=68155