DSN-BR-Based Online Inspection Method and Application for Surface Defects of Pharmaceutical Products in Aluminum-Plastic Blister Packages

作     者：Mingzhou Liu Yu Gong Xiaoqiao Wang Conghu Liu Jing Hu 

作者机构：School of Mechanical EngineeringHefei University of TechnologyHefei 230009China School of Mechanical and Electronic EngineeringSuzhou UniversitySuzhou 234000China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2024年第37卷第4期

页      面：194-214页

核心收录：

学科分类：0401[教育学-教育学] 04[教育学] 

主　　题：Surface defect detection system Deep learning Semantic segmentation Aluminum-plastic blister packages identification 

摘      要：Ensuring high product quality is of paramount importance in pharmaceutical drug manufacturing,as it is subject to rigorous regulatory *** study presents a research focused on the development of an on-line detection method and system for identifying surface defects in pharmaceutical products packaged in aluminum-plastic ***,the aluminum-plastic blister packages exhibit multi-scale features and inter-class *** address this,the deep semantic network with boundary refinement(DSN-BR)model is proposed,which leverages semantic segmentation domain knowledge,to accurately segment the defects in pixel ***,a specialized image acquisition module that minimizes the impact of ambient light is established,ensuring high-quality image ***,the image acquisition module,image detection module,and data management module are designed to construct a comprehensive online surface defect detection *** validate the effectiveness of our approach,we employ a real dataset for instance verification on the implemented *** experimental results substantiate the outstanding performance of the DSN-BR,achieving the mean intersection over union(MIoU)of 90.5%.Furthermore,the proposed system achieves an inference speed of up to 14.12 f/s,while attaining an F1-Score of 98.25%.These results demonstrate that the system meets the actual needs of the enterprise and provides theoretical and methodological support for intelligent inspection of product surface *** standardizing the control process of pharmaceutical manufacturing and improving the management capability of the manufacturing process,our approach holds significant market application prospects.