基于树莓派、物联网传感器和卷积神经网络的智能婴儿监测系统

R. Cheggou, Siham Si hadj mohand, Oussama Annad, E. Khoumeri
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引用次数: 3

摘要

对有工作的父母来说,照顾孩子是一项具有挑战性的任务。在本文中,我们提出了一个智能婴儿监控系统,允许父母远程和实时检查他们的孩子。提出的系统是基于“树莓派3b +”卡,一个Pi摄像头,一个声音和温度传感器。为了提高效率,该系统使用卷积神经网络来识别和解释婴儿在摇篮中的状态。系统的实现和实验结果证明了该系统的有效性和准确性,能够极大地帮助父母照顾自己的宝宝。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An intelligent baby monitoring system based on Raspberry PI, IoT sensors and convolutional neural network
Taking care of a baby is a challenging task for working parents. In this paper, we present an intelligent baby monitoring system that allows parents to check on their baby remotely and in real time. The proposed system is based on the “Raspberry Pi 3 B +” card, a Pi camera, a sound and temperature sensors. To be more efficient, this system uses a convolutional neural network to identify and interpret the baby status in his cradle. The implementation and the experimental results of the proposed system demonstrate its efficiency and accuracy and how it can greatly help parents to take care of their baby.
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