Research on real-time quality inspection of PET bottle caps | |
Chen S(陈帅); Xu M(许敏); Ma Y(马钺) | |
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 |
内容类型 | 会议论文 |
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. |
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