Design and Implementation of Community Intelligent Elderly Care System

Aiming at the existing intelligent elderly care systems only for home users, which has the problems of missing status information, high hardware requirements, and reliance on third-party platforms, this paper proposes a community elderly care program. First, an image acquisition and transmission system based on fall detection triggering is designed, which fully considers privacy protection rather than real-time monitoring. Secondly, an environmental parameter monitoring system based on STM32 and analog sensors is developed to effectively reduce the performance requirements of hardware. Finally, a three-node IoT transmission system of "Resident-Cloud-Community" is built based on the public network to realize the direct connection between resident and communities. The program aims to build a more independent, efficient and privacy-protected community-based intelligent elderly care system.