Design of an intelligent home security system based on embedded machine learning
An intelligent home security system is designed to meet the growing needs for smart home security management,including monitoring terminals and Web client software.The monitoring terminals deploy an improved convolutional neural network model on the open-source hardware Arduino Nano 33 BLE,collecting home environment sounds to determine if any abnormal events occur.The Web client software displays the status of the home environment sound in real-time and sends email alerts to users promptly when abnormal events occur.Experimental results show that the home warning system can effectively detect the abnormal events in home environment,meeting the urgent needs of home environment security.
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