Design and Implementation of Home Medicine Box AI System

In order to solve the problems of daily medication and health and safety care for the elderly, this paper uses the Internet of Things technology to design and implement a home medicine box AI system based on Raspberry PI, which is composed of three parts: medicine cabinet management system, electronic bracelet system and wechat mini program. The medicine cabinet control system utilizes Raspberry PI 4b as the central processing unit, incorporating a timing sensor, voice sensor, and temperature and humidity sensor. The electronic bracelet's control system utilizes STM32 as the primary control board, while the development board incorporates a dual-mode positioning sensor, cardiovascular oxygen sensor, voice module, network module, and six-axis acceleration sensor interconnected with dupont wires. The electronic bracelet control system facilitates functions such as positioning, heart rate acquisition, voice broadcasting, wireless communication, and attitude acquisition. The mobile WeChat mini program enables remote monitoring and control of medicine cabinets and the health status of elderly individuals, providing functions such as temperature and humidity monitoring, timed voice medication reminders, heart rate monitoring, posture monitoring, and positioning. The test results demonstrate the system's stability and reliability, thereby providing robust technical support for home monitoring.