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SYSTEM AND METHOD FOR DETECTING COUNTERFEIT PRODUCT BASED ON DEEP LEARNING

机译:基于深度学习的仿冒产品检测系统及方法

摘要

A system for validating a product incudes a computing device having a processor and a non-volatile memory storing computer executable code. The executed code is configured to: receive an instruction from a user when a user views a media file corresponding to the product; upon receiving the instruction, obtain a copy of the media file; process the copy of the media file using a deep learning module to obtain an identification of the product; and validate the product by comparing the identification of the product with a stored identification corresponding to the product. The deep learning module includes convolution layers for performing convolution on the copy of the media file to generate feature maps; a detection module for receiving the feature maps and generating intermediate identifications of the product; and a non-maximum suppression module for processing the intermediate identifications of the product to generate the identification of the product.
机译:用于验证产品的系统包括具有处理器和存储计算机可执行代码的非易失性存储器的计算设备。执行的代码被配置为:当用户查看与产品相对应的媒体文件时,从用户接收指令;收到指令后,获取媒体文件的副本;使用深度学习模块处理媒体文件的副本以获得产品的标识;并且通过将产品的标识与对应于产品的存储标识进行比较来验证产品。深度学习模块包括卷积层,用于对媒体文件的副本执行卷积以生成特征图;检测模块,用于接收特征图并生成产品的中间标识;非最大抑制模块,用于处理产品的中间标识,以生成产品的标识。

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