摘要
在现代工业中,高分子材料因其独特的物理和化学性质而被广泛应用于各个领域。目标检测技术,尤其是YOLOv5算法,因其在实时性和准确性方面的优势,已成为材料科学中的重要工具。YOLOv5,作为You Only Look Once(YOLO)系列的最新版本,通过其先进的深度学习架构,显著提高了目标检测的速度和准确性。文章综述YOLOv5在高分子材料领域的应用,包括材料缺陷检测、分类与识别、性能预测以及材料表征与分析。上述应用不仅提高了材料生产的质量和效率,还为材料研发提供了新的视角。随着技术的不断进步,YOLOv5在高分子材料领域的应用前景愈加广阔,有望进一步推动智能制造和自动化的发展。
In modern industry,polymer materials are widely used in various fields due to their unique physical and chemical properties.Object detection technology,especially the YOLOv5 algorithm,has become an important tool in materials science due to its advantages in real-time and accuracy.YOLOv5,as the latest version of the You Only Look Once(YOLO)series,significantly improves the speed and accuracy of object detection through its advanced deep learning architecture.The article reviews the application of YOLOv5 in the field of polymer materials,including material defect detection,classification and identification,performance prediction,and material characterization and analysis.The above applications not only improve the quality and efficiency of material production,but also provide new perspectives for material research and development.With the continuous advancement of technology,YOLOv5 has broad application prospects in the field of polymer materials,and is expected to further promote the development of intelligent manufacturing and automation.
作者
李雨嘉
LI Yu-jia(Faculty of Robot Science and Engineering,Northeastern University,Shenyang 110819,China)
出处
《塑料科技》
CAS
北大核心
2024年第11期157-160,共4页
Plastics Science and Technology
关键词
YOLOv5算法
高分子材料
材料缺陷检测
分类与识别
性能预测
材料表征与分析
YOLOv5 algorithm
Polymer materials
Material defect detection
Classification and recognition
Performance prediction
Material characterization and analysis
