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1.
4th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2022 ; : 185-190, 2022.
Article in English | Scopus | ID: covidwho-2213219

ABSTRACT

Nowadays, the COVID-19 epidemic continues to repeat, and the novel coronaviruses are highly contagious. In order to solve the difficulties of information collection and cargo transportation in the process of epidemic prevention and control, and reduce the work intensity of epidemic prevention personnel. In this paper, a multi-functional intelligent epidemic prevention vehicle control system based on single-chip microcomputer is proposed to realize the goal of replacing manual control with intelligent vehicles. This design uses the stm32 single-chip microcomputer as the control core, for the work demand of the epidemic prevention site. First of all, the design realizes the intelligent vehicle tracking navigation and path planning function to realize the contactless distribution. Secondly, the function of face recognition and intelligent temperature measurement is completed, which can upload information remotely, process images, measure the temperature for diagnostics, and strengthen better interaction with the doctor terminal. At last, by wireless transmission, human-computer interaction is realized. The intelligent epidemic prevention vehicle control system can basically complete the designed function through many simulation experiments. Among them, the path planning algorithm can be completed within 5 s, and the success rate of face recognition is as high as 97 %, which achieves a good simulation effect and has a certain value in the current environment. © 2022 IEEE.

2.
6th International Conference on Computing, Control, and Industrial Engineering, CCIE 2021 ; 920 LNEE:122-128, 2022.
Article in English | Scopus | ID: covidwho-1971640

ABSTRACT

On the basis of convenient and practical design of a real-time monitoring bus station and arrival time, bus number real-time monitoring system. The system uses MCU and GPS as the controller, which can realize the statistics of the number of people entering and leaving the bus, fuse, process and analyze the data with bus data and bus stations and lines, and alarm when the human body temperature exceeds a certain range of management. Especially during the epidemic period, it provides a good safety environment for passengers, and also provides data basis for the optimization of intelligent bus. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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