摘要
随着全球环保意识的增强和资源循环利用的重视,废纸回收再利用已成为减少资源浪费、保护环境的重要途径。然而,废纸中常含有各种杂质,如塑料、金属、胶黏物等,这些杂质不仅影响废纸浆的质量,还增加了后续处理成本。基于此,在阐述AI图像识别概念和内涵的基础上,提出了一种基于人工智能(AI)图像识别的废纸杂质检测与分类系统,旨在通过先进的图像处理技术和机器学习算法,实现废纸中杂质的自动检测与精准分类,以提高废纸回收效率与质量。
With the enhancement of global environmental awareness and the attention of resource recycling,waste paper recycling has become an important way to reduce resource waste and protect the environment.However,waste paper often contains various impurities,such as plastics,metals,adhesives,etc.,which not only affect the quality of waste pulp,but also increase the cost of follow-up treatment.Based on the concept and connotation of AI image recognition,this paper proposes a waste paper impurity detection and classification system based on artificial intelligence(AI)image recognition,aiming to achieve automatic detection and accurate classification of impurities in waste paper through advanced image processing technology and machine learning algorithm,so as to improve the efficiency and quality of waste paper recycling.
作者
马文宁
孟彬
MA Wenning;MENG Bin(Xi’an Fanyi University,Xi’an 710105,China)
出处
《造纸科学与技术》
2025年第7期29-32,37,共5页
Paper Science And Technology
基金
西安翻译学院教学项目(ZK2133)。
关键词
AI图像识别
废纸杂质检测
分类
回收利用
AI image recognition
waste paper impurity detection
categorize
recycling
