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Fault identification on cigarette packets - an image processing approach

机译:烟包的故障识别-图像处理方法

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The proposed work presents a technique for an automated process for fault diagnosis in cigarette packets. The proposed work is based on application of image processing techniques in LabVIEW platform. The objectives of the proposed work are (i) to count the number of cigarettes in an open packet, and (ii) to check for defects, if any, in the barcode. National Instrument's Smart camera is used to capture images of cigarette packets moving in a conveyor belt and process the images to fulfill the above objectives. The technique was subjected to offline and on-line testing on more than 50 cigarette packets from five different vendors. The results obtained are found to be acceptable in all cases to fulfill the objectives.
机译:提出的工作提出了一种用于香烟包装盒故障诊断的自动化过程的技术。这项工作是基于图像处理技术在LabVIEW平台中的应用。拟议工作的目的是(i)计算打开的包装盒中的香烟数量,以及(ii)检查条形码中是否有缺陷。美国国家仪器的智能相机用于捕获在传送带中移动的烟包的图像,并对图像进行处理以实现上述目标。这项技术已经接受了来自五家不同供应商的50多种烟盒的离线和在线测试。发现在所有情况下达到目的均可接受。

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