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A Non-Contact Technique for Qualitative Analysis of Crayon Packets using Image Processing Techniques

机译:利用图像处理技术对蜡笔小包进行定性分析的非接触技术

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Packaging plays a vital role in protection of materials, along with providing information about the product. But many a times it is difficult to identify the quality of product inside the packet. Proposed work discusses a technique to identify the quality of such packed products. Objectives of the proposed work are to count number of crayon in each packet and check if its’ as per desired number using the techniques of image processing. A camera is used to capture images of crayon packets in the production line packaging section. On capturing the images it is processed online using LabVIEW platform. Image processing algorithms like pattern recognition, edge detection and center of mass to compute the quantified data of the image acquired. Neural network algorithm is employed to detect the faulty packages as also to display the position of missing crayon. The system once designed is subjected to test and the results obtained proved successful implementation of set objectives.
机译:包装在提供材料信息方面,在保护材料方面起着至关重要的作用。但是很多时候很难识别包装盒内产品的质量。拟议的工作讨论了确定这种包装产品质量的技术。这项拟议工作的目的是计算每个小包中的蜡笔数量,并使用图像处理技术检查蜡笔是否符合所需数量。摄像机用于在生产线包装区中捕获蜡笔小包的图像。捕获图像时,将使用LabVIEW平台对其进行在线处理。图像处理算法(例如模式识别,边缘检测和质心)可计算所获取图像的量化数据。采用神经网络算法检测有缺陷的包装,并显示丢失蜡笔的位置。曾经设计过的系统要经过测试,所获得的结果证明可以成功实现既定目标。

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