A System for Automated Detection of Ampoule Injection Impurities
Ge, Ji1,2; Xie, Shaorong3; Wang, Yaonan4; Liu, Jun5; Zhang, Hui6; Zhou, Bowen7; Weng, Falu2; Ru, Changhai8,9,10; Zhou, Chao11; Tan, Min11; Sun, Yu1
2017-04-01
发表期刊IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
卷号14期号:2页码:1119-1128
文章类型Article
摘要Ampoule injection is a routinely used treatment in hospitals due to its rapid effect after intravenous injection. During manufacturing, tiny foreign particles can be present in the ampoule injection. Therefore, strict inspection must be performed before ampoule injections can be sold for hospital use. In the quality control inspection process, most ampoule enterprises still rely on manual inspection which suffers from inherent inconsistency and unreliability. This paper reports an automated system for inspecting foreign particles within ampoule injections. A custom-designed hardware platform is applied for ampoule transportation, particle agitation, and image capturing and analysis. Constructed trajectories of moving objects within liquid are proposed for use to differentiate foreign particles from air bubbles and random noise. To accurately classify foreign particles, multiple features including particle area, mean gray value, geometric invariant moments, and wavelet packet energy spectrum are used in supervised learning to generate feature vectors. The results show that the proposed algorithm is effective in classifying foreign particles and reducing false positive rates. The automated inspection system inspects over 150 ampoule injections per minute (versus by technologist) with higher accuracy and repeatability. In addition, the automated system is capable of diagnosing impurity types while existing inspection systems are not able to classify detected particles.
关键词Ampoule Injection Inspection Automated Ampoule Inspection Foreign Particles Impurity Detection Supervised Learning
WOS标题词Science & Technology ; Technology
DOI10.1109/TASE.2015.2490061
关键词[WOS]SUPPORT VECTOR MACHINES ; PARTICLE INSPECTION ; NETWORKS ; TRACKING
收录类别SCI
语种英语
项目资助者Canada Research Chairs Program ; National Natural Science Foundation of China(61305019 ; Natural Science Foundation of Jiangxi Province(20132BAB211032 ; Shanghai Municipal Science and Technology Commission(14JC1491500) ; International S&T Cooperation Program of China(2014DFA70470) ; 61463018 ; 20151BAB207046 ; 61401046 ; GJJ13385) ; 61528304)
WOS研究方向Automation & Control Systems
WOS类目Automation & Control Systems
WOS记录号WOS:000399347500063
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15095
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.Univ Toronto, Adv Micro & Nanosyst Lab, Toronto, ON M5S 3G8, Canada
2.Jiangxi Univ Sci & Technol, Coll Elect Engn & Automat, Ganzhou 341000, Peoples R China
3.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
4.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
5.Univ Toronto, Adv Micro & Nanosyst Lab, Toronto, ON M5S 3G8, Canada
6.Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410012, Hunan, Peoples R China
7.Hunan Univ Sci & Technol, Dept Elect Engn, Xiangtan 411201, Peoples R China
8.Soochow Univ, Res Ctr Robot & Micro Syst, Suzhou 215021, Peoples R China
9.Soochow Univ, Collaborat Innovat Ctr Suzhou Nano Sci & Technol, Suzhou 215021, Peoples R China
10.Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
11.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Ge, Ji,Xie, Shaorong,Wang, Yaonan,et al. A System for Automated Detection of Ampoule Injection Impurities[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2017,14(2):1119-1128.
APA Ge, Ji.,Xie, Shaorong.,Wang, Yaonan.,Liu, Jun.,Zhang, Hui.,...&Sun, Yu.(2017).A System for Automated Detection of Ampoule Injection Impurities.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,14(2),1119-1128.
MLA Ge, Ji,et al."A System for Automated Detection of Ampoule Injection Impurities".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 14.2(2017):1119-1128.
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