计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
19期
147-151
,共5页
西林瓶缺陷%视觉检测%圆心定位%圆周扫描
西林瓶缺陷%視覺檢測%圓心定位%圓週掃描
서림병결함%시각검측%원심정위%원주소묘
vial defects%visual inspection%center location%circle scan
与传统的西林瓶缺陷人工检测方法相比，在线视觉自动检测具有巨大优越性。设计了一套西林瓶缺陷自动视觉在线检测系统，研究了系统的机械与电气结构，并设计了针对西林瓶的视觉成像与图像获取装置；根据西林瓶各部位的形状特殊性，针对性地提出了具体的检测方法。选取各类缺陷样品100瓶进行测试，结果表明该系统检测准确度较高，能满足实际生产的需求。
與傳統的西林瓶缺陷人工檢測方法相比，在線視覺自動檢測具有巨大優越性。設計瞭一套西林瓶缺陷自動視覺在線檢測繫統，研究瞭繫統的機械與電氣結構，併設計瞭針對西林瓶的視覺成像與圖像穫取裝置；根據西林瓶各部位的形狀特殊性，針對性地提齣瞭具體的檢測方法。選取各類缺陷樣品100瓶進行測試，結果錶明該繫統檢測準確度較高，能滿足實際生產的需求。
여전통적서림병결함인공검측방법상비，재선시각자동검측구유거대우월성。설계료일투서림병결함자동시각재선검측계통，연구료계통적궤계여전기결구，병설계료침대서림병적시각성상여도상획취장치；근거서림병각부위적형상특수성，침대성지제출료구체적검측방법。선취각류결함양품100병진행측시，결과표명해계통검측준학도교고，능만족실제생산적수구。
Compared with traditional manual detection methods of defects in vials, online machine vision inspection method has tremendous superiority. Therefore an automation inspection system based of machine vision for vials is presented. Firstly, the mechanical and electrical structure of the system is studied, and the visual imaging and image acquisition devices are designed. Secondly, according to the particularity of each parts of vials, the paper puts forward specific detection methods. Finally, it selects 100 bottles of various types of defects for testing, the results show that the system has a high detection accuracy and can satisfy the requirement of the actual production.
