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With the computer gradually become an essential part of People’s Daily life. Long periods of sitting can lead to headaches, dizziness and cervical discomfort. In this paper, a manipulator massage system based on STM32F103 chip is designed to promote the intellectualization and automation of human cervical vertebra massage. Based on the study of human neck and shoulder massage points and massage techniques, the mechanical structure of the manipulator is designed, and SolidWorks is used to design the 3D model.

The system is an AC sine wave online uninterruptible power supply designed with STM32F407 as the main controller and full-bridge single-phase inverter as the core technology. The system is based on the STM32F407 single-chip microcomputer, and consists of a rectifier circuit, a BOOST circuit, a PFC power factor correction circuit, and a full-bridge single-phase inverter circuit. When the input of the system is switched between 29V~43V AC power supply and 24V DC power supply, the output voltage can maintain an AC sine wave with constant frequency and amplitude. Experimental data shows that the system has high operating efficiency and excellent stability.

This paper designs a simple non-contact temperature measurement and identity recognition device based on multiple embedded control systems and feature recognition algorithms. The device can achieve multiple functions such as non-contact temperature measurement, face recognition, mask recognition, and smart alarm. The system consists of three parts: main control, interactive system and detection system: the main control selects STM32F407VGT6 to process the data returned by multiple sensors and realize the mutual communication of each system; the interactive system uses the HMI serial touch screen to realize the visualization of data and human Machine operation function; the detection system is equipped with MLX90614 temperature detection module and OpenMV4 machine vision module to realize functions such as temperature detection, face recognition and mask recognition[1]. In addition, in order to ensure the accuracy and stability of the detection results, this article specifically designs temperature data filtering and compensation algorithms, LBP feature detection algorithms and other intelligent algorithms. Through experiments, the accuracy of this device to detect 28°C-48°C is within 0.8°C, and the accuracy of identifying faces and masks is above 98%.