A Systematic Review of Computer Vision Techniques for Quality Control in End-of-Line Visual Inspection of Antenna Parts
作者机构：School of Electrical and Information EngineeringZhengzhou UniversityZhengzhou450001China School of Science and TechnologyUniversidade de Trás-os-Montes e Alto DouroVila Real5000-801Portugal
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2024年第80卷第8期
页 面：2387-2421页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
基 金：European Recovery and Resilience Facility RRF Foundation for Aging, RRF
主 题：Computer vision end-of-line visual inspection of antenna parts machine learning algorithms image processing techniques deep learning models
摘 要：The rapid evolution of wireless communication technologies has underscored the critical role of antennas in ensuring seamless *** defects,ranging from manufacturing imperfections to environmental wear,pose significant challenges to the reliability and performance of communication *** review paper navigates the landscape of antenna defect detection,emphasizing the need for a nuanced understanding of various defect types and the associated challenges in visual *** review paper serves as a valuable resource for researchers,engineers,and practitioners engaged in the design and maintenance of communication *** insights presented here pave the way for enhanced reliability in antenna systems through targeted defect detection *** this study,a comprehensive literature analysis on computer vision algorithms that are employed in end-of-line visual inspection of antenna parts is *** PRISMA principles will be followed throughout the review,and its goals are to provide a summary of recent research,identify relevant computer vision techniques,and evaluate how effective these techniques are in discovering defects during *** contains articles from scholarly journals as well as papers presented at conferences up until June *** research utilized search phrases that were relevant,and papers were chosen based on whether or not they met certain inclusion and exclusion *** this study,several different computer vision approaches,such as feature extraction and defect classification,are broken down and ***,their applicability and performance are *** review highlights the significance of utilizing a wide variety of datasets and measurement *** findings of this study add to the existing body of knowledge and point researchers in the direction of promising new areas of investigation,such as real-time inspection systems and multispectral *** review,on its whole,of
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