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System, method, and non-transitory computer readable storage medium for image recognition based on convolutional neural networks

机译:基于卷积神经网络的图像识别系统,方法和非暂时性计算机可读存储介质

摘要

A recognition system includes an image capturing device and a server. The image capturing device generates a Mth-layer calculation result based on image data and a convolutional neural network (CNN), and transmits feature information associated with the Mth-layer calculation result. M is a positive integer, M is equal to or greater than 1, M is less than or equal to N, and N is a predetermined positive integer. The server receives the feature information. The server generates a Kth-layer calculation result based on the feature information and the CNN by an iterative method when M is less than N. K is a positive integer which is greater than M and less than or equal to N. The server generates a first recognition result associated with the image data based on the Kth-layer calculation result and a first recognition model when K is equal to N.
机译:识别系统包括图像捕获设备和服务器。图像捕获设备基于图像数据和卷积神经网络(CNN)生成第M层计算结果,并发送与第M层计算结果相关的特征信息。 M是正整数,M等于或大于1,M小于或等于N,并且N是预定的正整数。服务器接收功能信息。当M小于N时,服务器基于特征信息和CNN通过迭代方法生成第K层计算结果。K为大于M且小于或等于N的正整数。当K等于N时,基于第K层计算结果和第一识别模型,与图像数据相关联的第一识别结果。

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