Design and Implementation of a Remote Monitoring Robot System for Solitary Elderly Individuals

Addressing the limitations of existing solitary elderly monitoring systems, this paper employs embedded technology, mobile communication technology, and artificial intelligence image processing technology to develop a remote monitoring robot system for the children or guardians of solitary elderly individuals. This robot system aims to overcome the shortcomings of traditional fixed camera monitoring systems, achieving more flexible and efficient remote monitoring of the elderly with a cheaper solution. The hardware part of the robot system uses the CH32V307VCT6 microcontroller as the processor, combined with the HC-SR04 sensor for obstacle avoidance detection, utilizes an LED pillbox to remind the elderly to take their medication, employs a K210 camera module to monitor falling behavior, and achieves wireless communication through the esp8266 module. The hardware programming uses MRS IDE, the server side adopts Bafa Cloud and MQTT transmission protocol, and the mobile app is created through WeChat Developer Tools. At the same time, a vision algorithm based on deep learning is used to determine whether the elderly person has fallen. Test results prove that this intelligent monitoring system for the elderly, based on embedded technology, performs well in terms of real-time performance, accuracy, and stability.