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A Kind of Automatic Banknote Sorting Device Based on Vision

机译:一种基于视觉的一种自动纸币分拣装置

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In recent years, banknote classification has been a hot topic, and a series of mechatronic devices have been born on the market. Under this background, this paper, based on the vision, provides a banknote sorting device. This device first uses the industrial cameras to take pictures of flattened banknotes, then reads the banknotes images through VC ++ 6.0 and processes the images accordingly, finally identifies the denomination of the banknotes and makes mechanical classification of the banknotes. This paper begins with three parts, image acquisition, image processing and banknote classification. In order to facilitate development, the image acquisition utilizes an industrial camera with an SDK. Using advanced digital image processing technology, the banknotes image denoising, smoothing, sharpening, binarization and other processing, and the paper currency boundary was calculated to achieve the realization of banknotes intelligent identification with different denominations. The classification of the banknote mainly introduces the hardware and classification principle of the device, and theoretically realizes the automatic classification of different denominations.
机译:近年来,钞票分类一直是一个热门话题,一系列机电设备出生在市场上。在此背景下,本文基于视觉,提供了纸币分类设备。该装置首先使用工业摄像机拍摄扁平纸币的照片,然后通过VC ++ 6.0读取纸币图像并相应地处理图像,最后识别纸币的面额并使纸币的机械分类。本文始于三部分,图像采集,图像处理和钞票分类。为了促进开发,图像采集利用具有SDK的工业相机。采用先进的数字图像处理技术,计算纸币图像去噪,平滑,锐化,二值化等处理,以及纸币边界,以实现具有不同面额的钞票智能识别的钞票。钞票的分类主要介绍了装置的硬件和分类原理,理论上实现了不同面额的自动分类。

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