Face recognition in office environments with Google AIY Vision Kit

Angel Hernández, Francisco Ornelas, Juan Hurtado, Joel González
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引用次数: 1

Abstract

The following document shows the design, development, and implementation of a computer vision system for face detection through convolutional neural networks. This system was first developed on a PC and then implemented in an embedded system such as the Google AIY Vision Kit; This kit is a powerful tool for working with machine and deep learning, as well as having an affordable cost. The main application of this system is for the surveillance of places with restricted access, such as laboratories, warehouses, offices. The methodology for the development of this system was: design the network, obtain a database for training, train the network, and test the performance of the system.
人脸识别在办公环境与谷歌AIY视觉工具包
下面的文档展示了通过卷积神经网络进行人脸检测的计算机视觉系统的设计、开发和实现。该系统首先在PC上开发,然后在嵌入式系统(如Google AIY Vision Kit)中实现;这个工具包是一个强大的工具,用于机器和深度学习,以及具有负担得起的成本。本系统主要应用于实验室、仓库、办公室等出入受限场所的监控。本系统的开发方法为:设计网络,获取训练数据库,对网络进行训练,测试系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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