Knowledge Commons of Institute of Automation,CAS
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 | |
发表期刊 | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING |
2017-04-01 | |
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 |
DOI | 10.1109/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 | 复杂系统认知与决策实验室_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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