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Research on Intelligent Shelf based on Raspberry Pi Software and Big Data

机译:基于覆盆子PI软件和大数据的智能架研究

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With the development of science and technology, intelligent facility has already become an indispensable part of our life. At the same time, shopkeepers want a convenient and inexpensive facility to cut the labor cost. To meet their needs, we decide to design an Intelligent Shelf System. The Intelligent Shelf System should include four parts: shelf management, behavior identification, data upload and image update. After the system has been tested, we find that the system can identify 98.4% of goods on average.
机译:随着科学技术的发展,智能设施已经成为我们生命中不可或缺的一部分。与此同时,店主希望削减劳动力成本方便且廉价的设施。为了满足他们的需求,我们决定设计一个智能货架系统。智能货架系统应包括四个部分:货架管理,行为识别,数据上传和图像更新。系统经过测试后,我们发现系统可以平均识别98.4%的商品。

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