粮油食品科技2024，Vol.32Issue(4)：185-191,7.DOI:10.16210/j.cnki.1007-7561.2024.04.023
基于机器视觉的食品瓶罐包装缺陷检测研究进展
Research Progress on Inspecting Food Bottle and Can Packaging Shortcomings Based on Machine Vision
摘要
Abstract
Based on the literature in recent years,the application and development of machine vision in the detection of food bottle and can packaging defects were introduced,and the hardware structure and detection process of the detection system were explained.The research results based on image processing technology and deep learning method in the field of packaging defect detection of food bottles and cans were reviewed and analyzed.The research also summarized the advantages and disadvantages of classification network model and target detection network model both technologies and prospected their future development,and provide a reference for the innovative development of intelligent packaging inspection.关键词
机器视觉/包装缺陷检测/图像处理/深度学习Key words
machine vision/packaging defect detection/image processing/deep learning分类
信息技术与安全科学引用本文复制引用
陈卫东,刘超,王莹,范冰冰..基于机器视觉的食品瓶罐包装缺陷检测研究进展[J].粮油食品科技,2024,32(4):185-191,7.基金项目
财政部和农业农村部国家现代农业产业技术体系资助项目(CARS-03) National Modern Agricultural Industrial Technology System Funded by the Ministry of Finance and the Ministry of Agriculture and Rural areas(No.CARS-03) （CARS-03）
