中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on real-time quality inspection of PET bottle caps

文献类型:会议论文

作者Chen S(陈帅); Xu M(许敏); Ma Y(马钺)
出版日期2017
会议名称2017 IEEE International Conference on Information and Automation (ICIA)
会议日期July 18-20, 2017
会议地点Macau, China
关键词PET caps online quality inspection dynamic threshold
页码1023-1026
通讯作者Xu M(许敏)
中文摘要Online quality inspection is an effective way to guarantee the quality of PET bottles packaging on the high-speed filling production line. This paper focused on studying and developing a machine vision inspecting system for on-line defects detection of PET caps without support rings. An image processing algorithm was proposed to detecting the serious defects such as surface foreign matters and link ring broken of the PET caps. For detecting the defect of surface foreign matters, the algorithm employed a mean filtering to estimate the background, then compared the inspected image with the background image by using dynamic threshold, as a result, the crack region was extracted. As to defect of link ring broken, the uneven gray-scale distribution in the RGB color space was extremely improved by HSV color space transform. Compared three components of HSV images, the gap feature between the cap and the link ring was more obvious in the saturation image. Hence, the gap region was extracted through segmenting the saturation image. Experiments demonstrate that the designed inspection system has an accuracy up to 97% and the speed up to 34000 bottles per hour.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings of the 2017 IEEE International Conference on Information and Automation (ICIA)
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-3154-6
WOS记录号WOS:000425855100180
源URL[http://ir.sia.cn/handle/173321/21287]  
专题沈阳自动化研究所_智能检测与装备研究室
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China
推荐引用方式
GB/T 7714
Chen S,Xu M,Ma Y. Research on real-time quality inspection of PET bottle caps[C]. 见:2017 IEEE International Conference on Information and Automation (ICIA). Macau, China. July 18-20, 2017.

入库方式: OAI收割

来源:沈阳自动化研究所

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