Design of Wireless Smart Home Safety System Based on Visual Identity

Focusing on the problem that the elderly and the disabled live alone at home and miss the best rescue time in case of emergency, this paper describes a wireless smart home safety system based on visual identity. The system has the functions of monitoring, fire prevention, automatic speech recognition (ASR), visual identity (VI), temperature and humidity measurement, manual alarm, automatic alarm and so on. The VI function of this system is realized by establishing neural network model. When the user falls, the system camera recognizes the person who falls and automatically asks if he needs help. Also, on the basis of the original work, we use ZigBee protocol to make all the sensors wireless, expand the effective coverage of the system, making the installation more convenient.