Clustering of Image Data to Enhance Machine Learning Based Quality Control in THT Manufacturing

2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME)(2021)

引用 2|浏览1
暂无评分
摘要
In this work, machine learning (ML) models are presented to identify false calls during quality control with automated optical inspection (AOI) in through hole technology (THT) manufacturing. While ML-based approaches with both, image data and numerical data, have already been investigated extensively in SMT manufacturing due to the higher market share, research for THT manufacturing does not have...
更多
查看译文
关键词
Electronics Production,Through Hole Technology,Machine Learning,Automated Optical Inspection,Quality Control
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要