用计算机视觉识别假大米——以孟加拉国为例

Md. Asif Mahmud Ridoy, Md. Fahim Sarker, S. Datta, A. Sattar
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引用次数: 0

摘要

孟加拉国是一个农业国家。大米是这个国家的主要农产品之一。大米是孟加拉国大多数人的主食。因此,对大米的需求量很大。所以,市场上的大米供应有很多种。但是最近在市场上看到假大米和真大米一起出售。这些大米的真假很难用肉眼辨别。现在,人们经常被买假米而不是真米所欺骗。这对健康是致命的伤害。为此,我们收集了真假大米,并通过捕捉它们的图像制作了一个大型数据集。利用这个数据集,研究人员创建了两种不同的计算机视觉模型,然后检查它们的准确性,看看这些模型是否能识别出一种特定的大米是真的还是假的。其中CNN算法准确率最高,达到98%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh
Bangladesh is an agricultural country. Rice is one of the major agricultural products of this country. Rice is the staple food of most of the people in Bangladesh. As a result, there is a considerable demand for rice. So, there are many types of rice supply in the market. But lately it is seen that fake rice is sold in the market along with real rice. These rices cannot be easily identified with the naked eye whether it is real or fake. Now, it is often seen that people are being deceived by buying fake rice instead of real rice. Which is deadly harmful to health. For this real and fake rice was collected and made a large dataset by capturing their images. Using this dataset, two different computer vision models have been created and then their accuracy have been checked if those models can identify whether a particular rice is real or fake. Among them CNN algorithm gives the highest accuracy which is 98%.
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