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An Intelligent Informative Totem Application Based on Deep CNN in Edge Regime

机译:边缘区域中基于深度CNN的智能信息图腾应用

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In this paper we present an application targeting an informative totem, with a discussion about its possible usage and the requirements it needs to satisfy. In this regard, we propose a Machine Learning algorithm, a Convolutional Neural Network, performing computation on images taken from a camera on an edge-computing platform. Performance tests on two different edge processors are reported, respectively for a CPU and a GPU, and a comparison with the principal competitors is provided. Our final goal is to lay the foundation for the application of an informative totem in an edge computing regime, which is able to recognize the age and the gender of the person approaching it in order to give a better presentation of its contents.
机译:在本文中,我们提出了一个针对信息图腾的应用程序,并讨论了其可能的用途和需要满足的要求。在这方面,我们提出了一种机器学习算法,即卷积神经网络,该算法对在边缘计算平台上从相机拍摄的图像进行计算。报告了两个不同边缘处理器的性能测试,分别针对CPU和GPU,并与主要竞争对手进行了比较。我们的最终目标是为信息图腾在边缘计算系统中的应用奠定基础,该图腾能够识别接近该图腾的人的年龄和性别,以便更好地展示其内容。

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